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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 181–190 of 640 papers

TitleStatusHype
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
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