AI-based pathology predicts origins for cancers of unknown primary - Nature
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Updated
Nov 1, 2021 - Python
AI-based pathology predicts origins for cancers of unknown primary - Nature
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
The code for Kernel attention transformer (KAT)
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 .
AI competition for predicting Lymph node metastasis of breast cancer
Diagnosis of histologic growth patterns of lung cancer in digital slides using deep learning.
A GAN approach for improving segmentation of WSI Images.
Repository of MATLAB implemented image processing tools
Breast Cancer Image Classification On WSI With Spatial Correlations https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters
Automated batch processing for tissue microscopy image data
Code of the visualization tool extracted from the BD-PATH website.
A plugin for TensorBoard to show WSI images. The plugin is based on Deep Zoom Image (DZI).
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