62 skills found · Page 1 of 3
JunMa11 / AbdomenCT 1KThe official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"
HiLab-git / WORD[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
sjiang325 / Abdominal Trauma Detection CodeNo description available
assassint2017 / Abdominal Multi Organ Segmentationabdominal multi-organ segmentation using pytorch
StanfordMIMI / Comp2CompComputed tomography to body composition (Comp2Comp).
MRE-Lab-UMD / Abd Skin SegmentationDeep learning techniques for skin segmentation on novel abdominal dataset. Work conducted as part of the development process of an autonomous robotic ultrasound system.
MrGiovanni / ContinualLearning[MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
snapfinger / Pancreas SegPancreas Segmentation in Abdominal CT Scans with Convolutional Neural Network
Luoxd1996 / RAOS[MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
BodyMaps / AbdomenAtlas2.0[ICCV 2025] Dataset of 10,135 abdominal CT scans with 15,130 tumors annotated across six organs and 5,893 controls. The AI ranks first in Medical Segmentation Decathlon (MSD).
Nischaydnk / RSNA 2023 1st Place SolutionCode and Documentation for the first place solution in 2023 Abdominal Trauma Detection Competition hosted by RSNA on Kaggle.
198808xc / OrganSegC2FA coarse-to-fine framework for organ segmentation from abdominal CT scan
TheoViel / Kaggle Rsna Abdominal Trauma2nd Place Solution for the RSNA 2023 Abdominal Trauma Detection Kaggle Competition
YaoZhang93 / FLARE2021 Baseline[MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)
TheoEst / Abdominal RegistrationDeep learning based registration for Learn2Reg Challenge (Task 3 : CT Abdominal)
uni-medical / A EvalMedIA 2025 | A-Eval: A Benchmark for Cross-Dataset and Cross-Modality Evaluation of Abdominal Multi-Organ Segmentation
JiYuanFeng / AMOSAMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
LeeKeyu / Abdominal Ultrasound ClassificationCombining deep neural networks with PCA and k-NN classification for abdominal organ recognition in ultrasound images.
Deep-MI / FatSegNetDeep CNN for Abdominal Adipose Tissue Segmentation on Dixon MRI
yangyin2016 / DenseVNetimplement papar "Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks"
