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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 461–470 of 640 papers

TitleStatusHype
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation—0
Interactive decision support system for lung cancer segmentation—0
Interactive Segmentation and Report Generation for CT Images—0
Interactive Volumetry Of Liver Ablation Zones—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
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