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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 431–440 of 640 papers

TitleStatusHype
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
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