Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
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Updated
Jul 11, 2024 - Python
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
Awesome List of Digital and Computational Pathology Resources
SoftCTM won 3rd place in the OCELOT 2023 Challenge. Multi-organ H&E-based deep learning model for cell detection, applicable for tumor cellularity/ purity/ content estimation.
[MedIA2023 & MICCAI2022 ] Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning
KBSMC colon cancer grading dataset repository
The code for LAGE-Net
Implementation of MultiStain-CycleGAN
In this project, we perform exploratory analysis on the data and try out different models to give the best results.
Package using StarDist and Python that performs object detection and spatial analysis on H&E images
DL-model for multi-class tissue segmentation in colorectal cancer H&E slides, developed as part of the SemiCOL2023 Challenge.
Project title: Using Deep Learning to predict overall survival times for breast cancer from H&E whole slide biopsy
Developed a fine-tuned EfficientNetB0 model which is a pre-trained Convolutional Neural Network (CNN) model to train using lungs and colon cancer dataset and classify if the unseen image belonged to benign, adenocarcinoma or squamous cell carcinoma cancer type.
Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""
SOPHYSM - SOlid tumors PHYlogenetic Spatial Modeller - Julia GUI for Histological Analysis and Cancer Simulation
Histopathology Image Classification via Supervised Contrastive Deep Learning
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