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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 371–380 of 640 papers

TitleStatusHype
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image—0
Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritisCode0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Segmentation and ABCD rule extraction for skin tumors classification—0
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Orthogonal Ensemble Networks for Biomedical Image SegmentationCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
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