sudohainguyen / STAN-small-tumor-aware-network
Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for STAN-small-tumor-aware-network
- Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network☆20Updated last year
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-FeatureThis Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolu…☆21Updated 4 years ago
- Feature extraction for overall survival prediction in BraTS 2019 challenge☆11Updated 3 years ago
- Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images☆15Updated 5 years ago
- Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation☆18Updated 3 years ago
- ☆11Updated 3 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- Learning to segment multi-organ and tumorsfrom multiple partially labeled datasets☆19Updated 3 years ago
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- ☆21Updated 3 years ago
- code for LG-ER-MT☆15Updated 4 years ago
- [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)☆27Updated last year
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆50Updated 3 years ago
- Learnable Oriented-Derivative Network for Polyp Segmentation☆21Updated 3 years ago
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆39Updated 2 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- A deep semi-supervised method (UATS) for medical segmentation☆12Updated 4 months ago
- 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
- [MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)☆39Updated last year
- Sequential vessel segmentation via deep channel attention network☆23Updated last year
- Code for 《Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis》☆12Updated 5 years ago
- [TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification☆47Updated 11 months ago
- ☆13Updated 4 years ago
- [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis☆16Updated 2 years ago
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 2 years ago
- Source code for BOWDANet☆42Updated 3 years ago
- Probabilistic segmentation and image matching segmentation network for unsupervised domain adaptation and segmentation☆17Updated 4 years ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated last year