An effective deep learning classification framework for whole slide images.
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Updated
Apr 29, 2020 - Python
An effective deep learning classification framework for whole slide images.
Scientific Reports volume 11, Article number: 4037 (2021)
Code for the DRA-Net
The code for LAGE-Net
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
This is a viewer app that provides using to zoom and pan tools Deep Zoom Image (dzi) or Whole Slide Image (wsi) using Electron JS and OpenSeaDragon .
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
Codes available of a paper: An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features.
Performs instance segmentation and classification of nuclei in Multi-Tissue Histology WSIs(generally 100k*100k pixels).
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
A .NET library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.
Whole slide training with single GPU
The code for Kernel attention transformer (KAT)
The implementation of our MLMI19 oral paper "WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images."
The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
A simple web application for for viewing and navigating pathology whole-slide-images in your browser.
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
[ICCV 2023] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
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