[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
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Updated
Jun 5, 2024 - Python
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
[ISBI 2024] Accurate Subtyping of Lung Cancers by Modelling Class Dependencies
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
In my code portfolio, I generally try new techniques and methods in machine learning. I don't like only copying and pasting.
My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
3ASC: variant prioritization tool leveraging multiple instance learning for rare Mendelian disease genomic testing
Fungal classification at 10x resolution
Microsatellite Instability Classification using Multiple Instance Learning
Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Simulation code for "Ordinal Multiple Instance Support Vector Machines"
Code for the paper "Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability" (EMBC 2024)
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"
WSI classification
Multiple Instance Learning in PyTorch
CLI tool to run specimen-level inference on whole slide images
Multi-head Attention-based Deep Multiple Instance Learning
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