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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 551–560 of 640 papers

TitleStatusHype
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
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
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