tschaffter / dm-docker
Base and example Docker images for the Digital Mammography DREAM Challenge
☆15Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for dm-docker
- ☆15Updated 4 months ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 6 years ago
- Demos for Cell Proposal Networks presented in ICIP 16 and DLMIA 16 (MICCAI-W)☆17Updated 7 years ago
- Deep Learning Study Material☆18Updated 5 years ago
- ☆44Updated 5 years ago
- Data Science Bowl 2017 Competition☆34Updated 7 years ago
- ☆27Updated 8 years ago
- Exploratory Analysis + Tutorials for kaggle Data Science Bowl 2017☆17Updated 7 years ago
- Deep Learning methods for semantic segmentation with weakly labelled data☆16Updated 8 years ago
- ☆48Updated 6 years ago
- This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Ne…☆29Updated 6 years ago
- 3rd place solution for the second kaggle national datascience bowl☆93Updated 8 years ago
- Code for Second Annual Data Science Bowl. 16th place.☆9Updated 8 years ago
- Neural networks to segment some type of biomedical images☆21Updated 7 years ago
- Segment 3D MRIs of the brain into anatomical regions☆36Updated 9 years ago
- Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"☆15Updated 6 years ago
- Brain Tumor Image Segmentation☆21Updated 6 years ago
- Some starter code for training/testing some basic CNN models given our data.☆10Updated 7 years ago
- Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.☆48Updated 8 years ago
- A curated list of awesome deep learning applications in the field of neurological image analysis☆150Updated 6 years ago
- Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis☆75Updated 7 years ago
- UNet deep learning model for medical image segmentation☆47Updated last year
- ☆77Updated 3 months ago
- A deep learning framework for lung cancer prediction built with Lasagne/Theano☆67Updated 7 years ago
- A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)☆38Updated 2 years ago
- This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).☆43Updated 6 years ago
- Kaggle Data Science Bowl 2017 - Detecting Lung Cancer From DICOM Scans☆21Updated 7 years ago