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54 public repositories
matching this topic...
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Updated
Jun 7, 2024
Python
Ressources of histopathology datasets
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
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Jul 11, 2024
Python
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
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Jan 8, 2023
Python
Updated
Feb 18, 2023
Python
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
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Jan 15, 2020
Jupyter Notebook
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
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Jan 24, 2022
Python
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
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Jan 22, 2021
Python
BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
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May 24, 2024
Python
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
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Oct 10, 2023
Python
Updated
May 18, 2023
Jupyter Notebook
The code for Kernel attention transformer (KAT)
Updated
Jun 13, 2024
Python
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
Updated
Dec 8, 2022
Python
🌟 GPU-accelerated stain normalization command line tool
Updated
Oct 19, 2023
Python
Awesome List of Digital and Computational Pathology Resources
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images (WACV 2023)
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Mar 13, 2023
Python
Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
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Jan 7, 2021
Jupyter Notebook
Updated
Jun 11, 2021
Python
Updated
Nov 24, 2024
HTML
Updated
Apr 29, 2020
Python
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