most citedCut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

4 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026★ 4 cited

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

Chang Liu, Fuxin Fan, Annette Schwarz +1

Multi-organ segmentation is a widely applied clinical routine and automated organ segmentation tools dramatically improve the pipeline of the radiologists. Recently, deep learning…

eess.IV2024★ 1 cited

AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation

Chang Liu, Fuxin Fan, Annette Schwarz +1

Multi-organ segmentation in medical images is a widely researched task and can save much manual efforts of clinicians in daily routines. Automating the organ segmentation process u…