Topic: histopathology-images Goto Github
Some thing interesting about histopathology-images
Some thing interesting about histopathology-images
histopathology-images, Deep Learning Model to Classify Histopathological Cancer Tissues
User: aashiksharif
histopathology-images,Different networks, 2D CNN, 1X1 filter, VGG16 and Inception network is used for predicting breast cancer from histopathological images. Performance of different models are compared and found out that InceptionNet performed the best.
User: aiswarya-nandakumar
histopathology-images,:star2: GPU-accelerated stain normalization command line tool
User: andreped
histopathology-images,Data Exploration , visualization and deep learning detection as well classification of Histopathology image of cancers by CNN-VGG16 on tcga data set
User: anustup900
histopathology-images,Classification of Breast Cancer using Histopathological Images
User: aparna-vijayakumar
histopathology-images,TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
User: ashkanshakarami
Home Page: https://www.sciencedirect.com/science/article/pii/S1746809423002458
histopathology-images,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.
Organization: bmirds
Home Page: https://www.nature.com/articles/s41598-019-40041-7
histopathology-images,Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.
Organization: bmirds
histopathology-images,1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
User: bupt-ai-cz
histopathology-images,Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
User: bupt-ai-cz
histopathology-images,An automated CAD (Computer aided diagnosis) system for the classification of the breast histopathology images. It contains machine learning (feature extraction) and deep learning (transfer learning) pipelines.
User: cansuyalcinn
histopathology-images,Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
User: chongqingnosubway
histopathology-images,Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
Organization: eidoslab
Home Page: https://ieee-dataport.org/open-access/unitopatho
histopathology-images,Deep learning analysis of the PCAM dataset
User: erbon7
histopathology-images,Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
User: gatsby2016
histopathology-images,Breast Cancer Histopathological Image Classification
User: gbatsis
histopathology-images,Our solution for BreastPathQ cancer cellularity challenge
User: hbk16
histopathology-images,The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
User: hbk16
histopathology-images,This file contains the code for my work. "Reference5" is the image used for normalization. The "stained_dataset_test" is the final result of the model. The "lc25000_dataset_test" is the result of my model on the Augmentor dataset. Lastly, the "vahadane_stain_normalization" is my normalization code.
User: j7p16
histopathology-images,In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.
User: jaiprakash1824
histopathology-images,Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.
User: jerryweiai
histopathology-images, An educational game to familiarize yourself with digital slides of tissue stained with H&E
User: julimer228
histopathology-images,A virtual slide viewer (virtual microscope) for extremely high-resolution histopathology images. Made with Python, Flask and Leaflet.
User: jurgenizer
histopathology-images,Tensorflow 2.0 implementation of the M-LSA method.
User: juselara1
histopathology-images,Deep-learning based classification pipeline for subtyping lung tumors from histology. Study design and codebase to analyze the impact of nucleus segmentation on subtyping.
User: karthik-d
histopathology-images,Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.
User: koushikkumarl
histopathology-images,PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
User: lxasqjc
histopathology-images,HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
User: lyndonchan
histopathology-images,Official Repository for "Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN"
User: m-mohsin-zafar
histopathology-images,Ressources of histopathology datasets
User: maduc7
histopathology-images,Tutorial to learn how to implement transfer learning in histopathology with Tensorflow 2.0
User: maduc7
histopathology-images,The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
User: nauyan
histopathology-images,Implementation of "Synthetic Data Generation and Classification of Histopathological Images"
User: nderus
histopathology-images,Awesome List of Digital and Computational Pathology Resources
Organization: open-pathology
histopathology-images,
Organization: pathologyatlas
Home Page: https://pathologyatlas.github.io/pancreaticadenocarcinoma/
histopathology-images,Pathology Atlas (English version of Patoloji Atlası)
Organization: patolojiatlasi
Home Page: https://www.patolojiatlasi.com/EN/
histopathology-images,Patoloji Atlası
Organization: patolojiatlasi
Home Page: https://www.patolojiatlasi.com/
histopathology-images,Dataset Link
User: pharikal
Home Page: https://engineering.case.edu/centers/ccipd/data
histopathology-images,MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
User: philipchicco
histopathology-images,KBSMC_colon_tma_cancer_grading_1024_dataset
Organization: quiil
histopathology-images,Redes Neurais - Detecção de Câncer em Imagens
User: rafaellopes01
histopathology-images,Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
User: raktim-mondol
histopathology-images,The aim is to create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. We detect cancer by identifying metastatic tissue in histopathologic scans of lymph nodes using Deep Learning. Implemented using Keras.
User: shambhavimalik
histopathology-images,Following repository demonstrates machine learning architectures that can correctly classify lesions between LM and AMH. Overall, our methods showcase the potential for computer-aided diagnosis in dermatology, which, in conjunction with remote acquisition can expand the range of diagnostic tools in the community. This code is implemented using Keras and Tensorflow frameworks.
User: vafaeelab
histopathology-images,Curation of resources of McMedHacks Workshop
User: vasudev-sharma
histopathology-images,BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
User: younger330
Home Page: https://ieeexplore.ieee.org/abstract/document/10385899
histopathology-images,The code for Kernel attention transformer (KAT)
User: zhengyushan
histopathology-images,The code for LAGE-Net
User: zhengyushan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.