Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rates in quantification of the structure, boundary, a...

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Bibliographic Details
Published in:	Scientific reports Vol. 12; no. 1; pp. 3948 - 16
Main Authors:	Ashraf, Hassan, Waris, Asim, Ghafoor, Muhammad Fazeel, Gilani, Syed Omer, Niazi, Imran Khan
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 10.03.2022 Nature Publishing Group Nature Research Nature Portfolio
Subjects:	692/699 692/700 Automation Datasets Deep Learning Dermoscopy Dermoscopy - methods Engineering, computing & technology Humanities and Social Sciences Humans Ingénierie, informatique & technologie Lesions Melanoma Melanoma - diagnostic imaging Multidisciplinary Neural Networks, Computer Science Science (multidisciplinary) Segmentation Skin Diseases Skin lesions Skin Neoplasms Skin Neoplasms - diagnostic imaging Skin Neoplasms - pathology
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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