ImagingLab / ICIAR2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
☆205Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ICIAR2018
- Our solution for ICIAR 2018 Grand Challenge☆192Updated 3 years ago
- Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram …☆115Updated 6 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆121Updated 2 years ago
- Implementation of Camelyon'16 grand challenge☆182Updated 5 years ago
- Active Deep Learning for Medical Imaging Segmentation☆277Updated 2 years ago
- Pathologist-level interpretable whole-slide cancer diagnosis with deep learning☆128Updated 5 years ago
- cGAN-based Multi Organ Nuclei Segmentation☆185Updated 2 years ago
- High-resolution breast cancer screening with multi-view deep convolutional neural networks☆154Updated 6 years ago
- DeepLearning - Camelyon16 dataset☆116Updated 6 years ago
- Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Imag…☆51Updated 6 years ago
- Brain tumor segmentation using a 3D UNet CNN☆108Updated 5 years ago
- Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images☆79Updated 3 years ago
- Deep Learning to Improve Breast Cancer Detection on Screening Mammography☆376Updated 2 years ago
- Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology☆75Updated 4 years ago
- WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"☆153Updated 5 years ago
- PyTorch implementation for Camelyon17 (Breast Tumor Classification)☆79Updated 6 years ago
- Python Whole Slide Image Preprocessing☆272Updated 2 years ago
- 3D Unet biomedical segmentation model powered by tensorpack with fast io speed☆202Updated 6 years ago
- PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)☆255Updated 3 years ago
- Lung fields segmentation on CXR images using convolutional neural networks.☆172Updated 4 years ago
- BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cance…☆43Updated 5 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆136Updated 3 years ago
- This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenario…☆149Updated 5 years ago
- Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…☆161Updated 3 months ago
- DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection☆109Updated last year
- Computer aided detection using Faster-RCNN☆104Updated 6 years ago
- Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans☆138Updated 6 years ago
- A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.☆79Updated 2 years ago
- MRI medical image segmentation☆166Updated 3 years ago
- A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans☆139Updated 3 years ago