We propose a novel pipeline to accurately and effectively tackle skin lesion segmentation and classification tasks, which could also be applied to address ...
Automatic segmentation and classification of lesions are two clinically significant tasks in the computer-aided diagnosis of skin diseases.
We propose a novel pipeline to accurately and effectively tackle skin lesion segmentation and classification tasks, which could also be applied to address ...
Jan 1, 2023 · We evaluate the proposed pipeline on the four public skin lesion datasets, where the ISIC 2018 and PH2 are for segmentation, and the ISIC 2019 ...
Semantic Scholar extracted view of "Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification" ...
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What is a dermoscopy analysis of skin lesions?
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In this paper we focus on the problem of skin lesion classification, particularly early melanoma detection, and present a deep-learning based approach to solve ...
Feb 16, 2024 · [5] ↑ Dong et al., “Learning from dermoscopic images in association with clinical metadata for skin lesion segmentation and classification,” ...
... It is noteworthy that some academics consider segmentation a preprocessing step for feature extraction and classification. Segmented lesion masks and ...
Nov 17, 2022 · Automatic segmentation and classification of lesions are two clinically significant tasks in the computer-aided diagnosis of skin diseases.
Feb 28, 2023 · [18] designed a novel bi-directional dermoscopic feature learning framework, which models the complex correlation between skin lesions and their ...
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