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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 601–610 of 640 papers

TitleStatusHype
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—0
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions—0
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs—0
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications—0
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images—0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks—0
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
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