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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 261–270 of 640 papers

TitleStatusHype
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data—0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion—0
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation—0
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
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