gmaresta / iW-Net
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken and Aurélio Campilho
☆18Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for iW-Net
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆52Updated last year
- Code for training a 3DUnet for Brain tumour segmentation from Brats 2019 dataset; for feature extraction from the segmented volumes and f…☆22Updated 4 years ago
- Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification☆44Updated 4 years ago
- Segmentation of prostate from MRI scans☆44Updated 3 years ago
- Uncertainty-Guided Interactive Refinement for Segmentation☆58Updated 3 years ago
- This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.☆28Updated 4 years ago
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆32Updated 4 years ago
- VNet for 3d volume segmentation☆44Updated 3 years ago
- A toolkit for fetal brain localization and segmentation using deep learning☆19Updated 5 years ago
- This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the…☆54Updated 6 years ago
- Pipeline for Lung Segmentation on the NSCLC Radiomics Dataset as part of the IEEE VIP 2018 Challenge☆14Updated 3 years ago
- Feature extraction for overall survival prediction in BraTS 2019 challenge☆11Updated 3 years ago
- code for "Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation (MICCAI 2020)☆20Updated last year
- ☆12Updated 5 years ago
- Volumetric MRI brain tumor segmentation using autoencoder regularization☆47Updated last year
- My implementation for the MRNet competition hosted by the Stanford ML group☆33Updated 5 years ago
- Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data☆19Updated 5 years ago
- MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection☆17Updated 5 years ago
- ☆36Updated last year
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- ☆21Updated 4 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆50Updated 3 years ago
- The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]☆21Updated last year
- Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …☆17Updated 4 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆34Updated last year
- MSc. Thesis - 3D Convolutional Neural Network for Liver Tumor Segmentation☆29Updated 5 years ago
- Scripts to work with the chaos challenge☆25Updated 5 years ago