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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 151–160 of 640 papers

TitleStatusHype
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI—0
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
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise HardnessCode1
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation DatasetCode1
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
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
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
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