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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 376–400 of 640 papers

TitleStatusHype
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina—0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation—0
Semi-supervised few-shot learning for medical image segmentation—0
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
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
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network—0
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
Skin lesion segmentation using U-Net and good training strategies—0
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
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