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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 161–170 of 640 papers

TitleStatusHype
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification—0
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks—0
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification—0
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