Abstract: Automated segmentation of pigmented skin lesions (PSLs) from dermoscopy images is an important step for computer-aided diagnosis of skin cancer.
Automated segmentation of pigmented skin lesions (PSLs) from dermoscopy images is an important step for computer-aided diagnosis of skin cancer.
This research creates different new algorithms for the skin lesion segmentation in dermoscopic images and shows that a modified automatic Seeded Region ...
ABSTRACT. Automated segmentation of pigmented skin lesions (PSLs) from dermoscopy images is an important step for computer- aided diagnosis of skin cancer.
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Automated segmentation of pigmented skin lesions (PSLs) from dermoscopy images is an important step for computer-aided diagnosis of skin cancer.
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Exemplar-based segmentation of pigmented skin lesions from ...
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The algorithm for segmentation of skin lesions in dermoscopy images is based on fuzzy classification of pixels and subsequent histogram thresholding.
Missing: Exemplar- | Show results with:Exemplar-
Apr 3, 2022 · This study aims to create a system for recognizing pigmented skin lesions by analyzing heterogeneous data based on a multimodal neural network.
Missing: Exemplar- | Show results with:Exemplar-
Mar 13, 2020 · This paper proposes an automated method for segmenting lesion boundaries that combines two architectures, the U-Net and the ResNet, collectively ...
Missing: Exemplar- | Show results with:Exemplar-
based inpainting. Chapter 5 focuses on an exemplar-based segmentation method for pigmented skin lesions in dermoscopy images. Chapter 6 lays out a ...