Stars
This project focuses on classifying pathological images of signet ring cells from the WSI of gastrointestinal tissues.
🕶 A curated list of Tiny Object Detection papers and related resources.
SRPN: Similarity-based Region Proposal Networks for Nuclei and Cells Detection in Histology Images
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5
A collection of loss functions for medical image segmentation
deep learning for image processing including classification and object-detection etc.
gerstung-lab / PC-CHiP
Forked from yufu2015/PC-CHiPPan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Train a model to predict gene expression from histology slides.
A pan-cancer platform for mutation prediction from routine histology
Classification of Lung cancer slide images using deep-learning
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Cancer metastasis detection with neural conditional random field (NCRF)
bupt-ai-cz / Breast-Cancer-Image-Classification-On-WSI-With-Spatial-Correlations
Forked from dong100136/Breast-Cancer-Image-Classification-On-WSI-With-Spatial-CorrelationsBreast Cancer Image Classification On WSI With Spatial Correlations https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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 f…
Toolkit for WSI preprocess, such as resample & zoom, mask, roi selection ect.
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Python Whole Slide Image Preprocessing
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
Implementation of Camelyon'16 grand challenge
Program for the analysis and visualization of whole-slide images in digital pathology
Library for Digital Pathology Image Processing
Matrix Decompostion Techniques - SVD and QR Decomposition
Coursera Machine Learning By Prof. Andrew Ng