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build: bumped patch version for all imagej tools
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nishaq503 committed Jul 16, 2024
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-apply-tool/.bumpversion.cfg
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[bumpversion]
current_version = 0.5.1
current_version = 0.5.2-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-apply-tool/README.md
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# ImageJ threshold apply (v0.5.1)
# ImageJ threshold apply (v0.5.2-dev0)

This plugin applies a constant manual threshold value to an input collection.
(Thresholding)[https://en.wikipedia.org/wiki/Thresholding_(image_processing)] converts all pixel values in an image to either 1 or 0 depending on
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-apply-tool/VERSION
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0.5.1
0.5.2-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-apply-tool/plugin.json
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{
"name": "ImageJ threshold apply",
"version": "0.5.1",
"version": "0.5.2-dev0",
"title": "ImageJ threshold apply",
"description": "This plugin applies a constant or manual threshold to an input collection.",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-apply-tool:0.5.1",
"containerId": "polusai/imagej-threshold-apply-tool:0.5.2-dev0",
"baseCommand": [
"python3",
"-m",
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-apply-tool/pyproject.toml
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[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-apply"
version = "0.5.1"
version = "0.5.2-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold Apply tool."""


__version__ = "0.5.1"
__version__ = "0.5.2-dev0"


import logging
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-huang-tool/.bumpversion.cfg
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[bumpversion]
current_version = 0.5.1
current_version = 0.5.2-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-huang-tool/README.md
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# ImageJ threshold huang (v0.5.1)
# ImageJ threshold huang (v0.5.2-dev0)

This plugin implements Huang's threshold method proposed in Image Thresholding by Minimizing the Measures of Fuzziness, Huang (1995).
This method determines an optimal thresholding value such that the fuzziness measure between the original image and its binary version is minimized.
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-huang-tool/VERSION
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@@ -1 +1 @@
0.5.1
0.5.2-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-huang-tool/plugin.json
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{
"name": "ImageJ threshold huang",
"version": "0.5.1",
"version": "0.5.2-dev0",
"title": "ImageJ threshold huang",
"description": "This plugin implements Huang's threshold method by Huang Wang.",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-huang-tool:0.5.1",
"containerId": "polusai/imagej-threshold-huang-tool:0.5.2-dev0",
"inputs": [
{
"name": "inpDir",
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-huang-tool/pyproject.toml
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[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-huang"
version = "0.5.1"
version = "0.5.2-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold Huang tool."""


__version__ = "0.5.1"
__version__ = "0.5.2-dev0"


import logging
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-ij1-tool/.bumpversion.cfg
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[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-ij1-tool/README.md
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# ImageJ threshold huang (v0.5.0)
# ImageJ threshold huang (v0.5.1-dev0)

This plugin implements the [default thresholding method](https://imagej.net/plugins/auto-threshold#default) from ImageJ 1.x. The
default method as explained by ImageJ is a variation of the IsoData algorithm.
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-ij1-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-ij1-tool/plugin.json
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@@ -1,14 +1,14 @@
{
"name": "ImageJ threshold huang",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold huang",
"description": "This plugin implements Huang's threshold method by Huang Wang.",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-huang-tool:0.5.0",
"containerId": "polusai/imagej-threshold-huang-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-ij1-tool/pyproject.toml
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[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-ij1"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold IJ1 tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-intermodes-tool/README.md
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# ImageJ threshold intermodes (v0.5.0)
# ImageJ threshold intermodes (v0.5.1-dev0)

As described by [ImageJ](https://imagej.net/plugins/auto-threshold#intermodes) this plugin implements the threshold method described in
Prewitt, J. M. S., & Mendelsohn, M. L. (2006). THE ANALYSIS OF CELL IMAGES*.
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-intermodes-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-intermodes-tool/plugin.json
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{
"name": "ImageJ threshold intermodes",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold intermodes",
"description": "This plugin implements the Intermodes thresholding operation, where it is assumed the input image has bimodal distribution of pixel values",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-intermodes-tool:0.5.0",
"containerId": "polusai/imagej-threshold-intermodes-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-intermodes"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold intermodes tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-isodata-tool/README.md
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# ImageJ threshold isodata (v0.5.0)
# ImageJ threshold isodata (v0.5.1-dev0)

Iterative procedure based on the isodata algorithm of: Picture Thresholding
Using an Iterative Selection Method. (1978). IEEE Transactions on Systems, Man,
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-isodata-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-isodata-tool/plugin.json
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{
"name": "ImageJ threshold isodata",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold isodata",
"description": "This plugin implements the isodata thresholding operation",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-isodata-tool:0.5.0",
"containerId": "polusai/imagej-threshold-isodata-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-isodata-tool/pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-isodata"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold isodata tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-li-tool/.bumpversion.cfg
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-li-tool/README.md
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# ImageJ threshold li (v0.5.0)
# ImageJ threshold li (v0.5.1-dev0)

Implements Li’s Minimum Cross Entropy thresholding method based on the iterative
version of the algorithm. This is an iterative method to find the threshold
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-li-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-li-tool/plugin.json
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{
"name": "ImageJ threshold li",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold li",
"description": "This plugin implements the li thresholding operation",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-li-tool:0.5.0",
"containerId": "polusai/imagej-threshold-li-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-li-tool/pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-li"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold li tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-maxentropy-tool/README.md
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# ImageJ threshold maxentropy (v0.5.0)
# ImageJ threshold maxentropy (v0.5.1-dev0)

Implements Kapur-Sahoo-Wong (Maximum Entropy) thresholding method as
described in: Kapur, J. N., Sahoo, P. K., & Wong, A. K. C. (1985). A new method
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-maxentropy-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-maxentropy-tool/plugin.json
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{
"name": "ImageJ threshold maxentropy",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold maxentropy",
"description": "This plugin implements the maxentropy thresholding operation",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-maxentropy-tool:0.5.0",
"containerId": "polusai/imagej-threshold-maxentropy-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-maxentropy"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold li tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.5.0
current_version = 0.5.1-dev0
commit = True
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-maxlikelihood-tool/README.md
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# ImageJ threshold maxlikelihood (v0.5.0)
# ImageJ threshold maxlikelihood (v0.5.1-dev0)

Implements a maximum likelihood threshold method using the [EM algorithm](https://en.wikipedia.org/wiki/Expectation%E2%80%93maximization_algorithm)
by Dempster, Laird, Rubin and Glasbey:
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2 changes: 1 addition & 1 deletion segmentation/imagej-threshold-maxlikelihood-tool/VERSION
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@@ -1 +1 @@
0.5.0
0.5.1-dev0
4 changes: 2 additions & 2 deletions segmentation/imagej-threshold-maxlikelihood-tool/plugin.json
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@@ -1,14 +1,14 @@
{
"name": "ImageJ threshold maxlikelihood",
"version": "0.5.0",
"version": "0.5.1-dev0",
"title": "ImageJ threshold maxlikelihood",
"description": "This plugin implements the maxlikelihood thresholding operation",
"author": "Nick Schaub (nick.schaub@nih.gov), Anjali Taneja, Benjamin Houghton (benjamin.houghton@axleinfo.com), Najib Ishaq (najib.ishaq@nih.gov)",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/polusai/image-tools",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/imagej-threshold-maxlikelihood-tool:0.5.0",
"containerId": "polusai/imagej-threshold-maxlikelihood-tool:0.5.1-dev0",
"inputs": [
{
"name": "inpDir",
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "polus-images-segmentation-imagej-threshold-maxlikelihood"
version = "0.5.0"
version = "0.5.1-dev0"
description = ""
authors = [
"Nick Schaub <nick.schaub@nih.gov>",
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"""Provides the ImageJ Threshold li tool."""


__version__ = "0.5.0"
__version__ = "0.5.1-dev0"


import logging
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