QTIM-Lab / qtim_ROP
Code base for preprocessing, segmentation and classification of retinal images
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for qtim_ROP
- Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"☆51Updated 7 years ago
- A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.☆94Updated 7 years ago
- Segment 3D MRIs of the brain into anatomical regions☆36Updated 9 years ago
- Archive for my CNN model for diabetic kaggle competition☆12Updated 9 years ago
- This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional…☆24Updated 8 years ago
- Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination☆88Updated 7 years ago
- Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)☆87Updated 6 years ago
- Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation…☆55Updated 6 years ago
- ☆48Updated 6 years ago
- Deep Learning Study Material☆18Updated 5 years ago
- NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures☆38Updated 7 years ago
- TF Implementation of Multiple Instance Learning FCN.☆90Updated 4 years ago
- This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convoluti…☆161Updated 4 years ago
- UNet deep learning model for medical image segmentation☆47Updated last year
- Implementation of VoxResNet for 3D brain segmentation☆66Updated 6 years ago
- This project was carried out as part of the recruitment processs for a major AI company. The task was to implement a model for CG and PZ …☆14Updated 6 years ago
- 3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (r…☆74Updated 7 years ago
- ☆27Updated 8 years ago
- Code for reproducing the results of our paper on CNN-based medical image segmentation☆87Updated 7 years ago
- INFORMATION FOR THE LIVER TUMOR SEGMENTATION CHALLENGE☆74Updated 7 years ago
- MS lesion segmentation using cascaded 3D convolutional neural networks☆42Updated 6 years ago
- This code implements a red lesion detection method based on a combination of hand-crafted features and CNN based descriptors. Our paper i…☆47Updated 4 years ago
- 3D convolutional neural network for MRI brain extraction☆118Updated 3 years ago
- ☆22Updated 6 years ago
- Classification and Segmentation of melanoma images using Deep Learning☆17Updated 6 years ago
- MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)☆44Updated 5 years ago
- Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'☆56Updated last year
- Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram …☆114Updated 6 years ago