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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 401–410 of 640 papers

TitleStatusHype
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols—0
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos—0
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI—0
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19—0
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
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