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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 131–140 of 640 papers

TitleStatusHype
Boundary loss for highly unbalanced segmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
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
Pyramid Scene Parsing NetworkCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
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