ThoroughImages / NetFrame
NetFrame is a flexible and scalable deep-learning framework to build segmentation model on large scale pathological images.
☆13Updated last year
Alternatives and similar repositories for NetFrame:
Users that are interested in NetFrame are comparing it to the libraries listed below
- Core components of PathologyGo, the AI assistance system designed for histopathological inference.☆15Updated 4 years ago
- ☆15Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- [TMI'2021][ISBI MoNuSAC'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.☆29Updated 3 years ago
- 🔬 Code-free deep segmentation for computational pathology☆53Updated 8 months ago
- Re-stained whole slide image alignment☆32Updated last year
- ☆30Updated 5 years ago
- ☆52Updated 3 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆67Updated last month
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆37Updated 4 years ago
- DeeperHistReg - Source Code☆46Updated 9 months ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆15Updated last year
- ☆36Updated 2 years ago
- ☆57Updated 4 months ago
- The colorectal adenoma dataset with image-level labels for weakly supervised learning.☆29Updated 5 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆51Updated 2 years ago
- Pipeline for computational pathology☆34Updated last year
- Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.☆22Updated last year
- Comparison and fusion of deep learning and radiomics features of ground-glass nodules to predict the invasiveness risk of stage-I lung ad…☆17Updated 5 years ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 3 years ago
- ☆36Updated 3 years ago
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆40Updated 3 years ago
- ☆35Updated last year
- Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis☆26Updated last year
- This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their mo…☆64Updated 3 years ago
- A Girder plugin for pathology image annotations and analysis.☆64Updated last week
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 4 years ago
- Histopathology Image Analysis☆93Updated last year