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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 381–390 of 640 papers

TitleStatusHype
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural NetsCode0
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection—0
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR ImagesCode1
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation—0
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
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