kbressem / prostate158
☆31Updated 10 months ago
Alternatives and similar repositories for prostate158:
Users that are interested in prostate158 are comparing it to the libraries listed below
- Annotations for the PI-CAI Challenge: Public Training and Development Dataset☆59Updated 7 months ago
- Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.☆82Updated 2 years ago
- Model for the detection, segmentation, and classification of prostate lesions from mpMRI, using ProstateX data and Retina U-Net☆66Updated 3 years ago
- Official repository for autoPET I+II machine lerning challenge☆70Updated 9 months ago
- Baseline AI models for 3D csPCa detection/diagnosis in bpMRI☆48Updated 2 months ago
- autoPET TCIA pipeline☆50Updated 2 years ago
- Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning☆43Updated last month
- The official repository of the 2023 Kidney Tumor Segmentation Challenge (KiTS23)☆105Updated 2 months ago
- MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation c…☆84Updated last week
- A package to compute medical segmentation metrics.☆159Updated 9 months ago
- Grand Challenge wrapper for whole-gland prostate segmentation with nnUNet☆14Updated last year
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆40Updated 3 years ago
- End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…☆65Updated 4 years ago
- Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.☆22Updated last month
- ☆17Updated 8 months ago
- Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis☆158Updated 10 months ago
- Hand-crafted radiomics and deep learning-based radiomcis features extraction.☆84Updated 2 years ago
- This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-…☆19Updated last month
- Precision medicine toolbox☆69Updated last year
- ☆99Updated last month
- Medical Image Radiomics Processor☆67Updated last month
- ☆33Updated last year
- DICOM RT-Struct to mask☆101Updated last year
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆83Updated 4 months ago
- Computed tomography to body composition (Comp2Comp).☆79Updated last week
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆105Updated 2 months ago
- ☆12Updated 4 months ago
- Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and…☆12Updated 2 years ago
- CT-FM: A 3D Image-Based Foundation Model for Computed Tomography☆36Updated 2 months ago
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆27Updated last year