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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 591–600 of 640 papers

TitleStatusHype
Detection-aided liver lesion segmentation using deep learningCode0
Road Extraction by Deep Residual U-NetCode1
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)Code1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation—0
Liver lesion segmentation informed by joint liver segmentation—0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
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