BMIRDS / deepslideLinks
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.
☆506Updated 11 months ago
Alternatives and similar repositories for deepslide
Users that are interested in deepslide are comparing it to the libraries listed below
Sorting:
- Python Whole Slide Image Preprocessing☆289Updated 2 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆160Updated 10 months ago
- Tools for tissue image stain normalisation and augmentation in Python 3☆335Updated 4 years ago
- ☆343Updated 3 years ago
- A Python toolkit for pathology image analysis algorithms.☆421Updated last week
- Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…☆211Updated 5 years ago
- A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge☆209Updated 6 years ago
- The PatchCamelyon (PCam) deep learning classification benchmark.☆493Updated last year
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learning☆132Updated 5 years ago
- nucleus/cell and histopathology image classification,detection,segmentation☆257Updated 4 years ago
- HistoQC is an open-source quality control tool for digital pathology slides☆293Updated 5 months ago
- Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.☆603Updated last year
- Implementation of Camelyon'16 grand challenge☆184Updated 6 years ago
- DeepLearning - Camelyon16 dataset☆122Updated 6 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆123Updated 2 years ago
- Classification of Lung cancer slide images using deep-learning☆508Updated 8 months ago
- A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in comput…☆255Updated last year
- predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer☆104Updated 5 years ago
- Program for the analysis and visualization of whole-slide images in digital pathology☆642Updated last year
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆78Updated 2 years ago
- Our solution for ICIAR 2018 Grand Challenge☆193Updated 4 years ago
- Fusing Histology and Genomics via Deep Learning - IEEE TMI☆310Updated 2 years ago
- Computational Pathology Toolbox developed by TIA Centre, University of Warwick.☆428Updated this week
- cGAN-based Multi Organ Nuclei Segmentation☆191Updated 2 years ago
- AI-based pathology predicts origins for cancers of unknown primary - Nature☆173Updated 3 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆138Updated 3 years ago
- Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images☆82Updated 3 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 5 years ago
- Pretrained model for self supervised histopathology☆116Updated 2 years ago
- DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image☆421Updated last year