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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
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation—0
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer—0
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis—0
SHEAR-net: An End-to-End Deep Learning Approach for Single Push Ultrasound Shear Wave Elasticity Imaging—0
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks—0
Skin cancer reorganization and classification with deep neural network—0
Skincure: An Innovative Smart Phone-Based Application To Assist In Melanoma Early Detection And Prevention—0
SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability—0
A survey, review, and future trends of skin lesion segmentation and classification—0
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)—0
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