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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 41–50 of 640 papers

TitleStatusHype
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
Constrained unsupervised anomaly segmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
DAGrid: Directed Accumulator GridCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
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