histopathological-image
There are 10 repositories under histopathological-image topic.
Zhengyushan/adaptive_color_deconvolution
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
EIDOSLAB/UNITOPATHO
Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
ZhangXX54/DDTNet
MIA-DDTNet: A Dense Dual-Task Network for Tumor-infiltrating Lymphocyte Detection and Segmentation in Histopathological Images of Breast Cancer
bupt-ai-cz/IAST-CAC-UNet-LLCNN-BreastCancerCNN-ImageRetrieval_DF_CDVS-Highly_Efficient_Follicular_Segmentation
Codes and Data for CVSM Group: 1. IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020); 2.
23yem/Kaggle-Histopathologic-Cancer-Detection
This is my second ML project. The primary challenge in this competition is to create a model that can accurately classify microscopic images of lymph node sections as containing metastatic tissue or not. This repository includes the code for building and training a CNN to tackle this problem. The model is developed in Python using TensorFlow/Keras
eDIMESLab/dermas
Histopathological image processing and segmentation
AlyMBarakat/histopathological-cancer-detection
Histopathological Metastatic Cancer Detection, using Image Processing and Machine Learning
mukul54/auto-annot-FTIR
Automatic Annotation of FTIR tissue images
Vedant-02/histopathologic-cancer-detection
In this project, we have implemented various deep learning algorithms like Transfer Learning, CNN and MLP, and some other classification algorithms like Random Forest, LightGBM etc. to classify histopathological images of lymph nodes and reduce the human intervention yet providing accurate results.
yurayli/histopathologic-cancer-detection
cancer detection from histopathological images