DIAGNijmegen / picai_eval
Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.
☆20Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for picai_eval
- Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.☆19Updated last month
- Repository for the Universal Lesion Segmentation Challenge '23☆28Updated 6 months ago
- Annotations for the PI-CAI Challenge: Public Training and Development Dataset☆49Updated 2 months ago
- ☆52Updated 10 months ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆28Updated last year
- 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
- [MedIA‘25] Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields☆13Updated last week
- Baseline AI models for 3D csPCa detection/diagnosis in bpMRI☆45Updated 4 months ago
- A manually annotated test set for DeepLesion with 3D lesion boxes☆23Updated 3 years ago
- ☆14Updated 3 months ago
- ☆35Updated this week
- Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al☆22Updated last year
- [MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis☆16Updated 2 years ago
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚 𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆39Updated 2 years ago
- Segmentation of knee cartilage tissues from DESS MRI☆21Updated 10 months ago
- A 3D medical Detection Transformer library. Papers accepted @ MIDL22 & MELBA23/02.☆51Updated 4 months ago
- This is the official project webpage of BHSD (MLMI 2023).☆21Updated 3 weeks ago
- Report Guided Annotation☆19Updated last year
- Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"☆49Updated 10 months ago
- examples of using PyMIC for medical image computing with deep learning☆33Updated last week
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆38Updated last year
- ☆64Updated 7 months ago
- ☆59Updated 5 months ago
- Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.☆46Updated 9 months ago
- ☆31Updated last year
- AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation☆26Updated last year
- ☆15Updated 2 weeks ago
- [IEEE-TMI'23] TaG-Net: Topology-aware Graph Network for Centerline-based Vessel Labeling☆37Updated 10 months ago