Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images-Reference-Cited by-同舟云学术

Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images

Published:2020-07-14 Issue:2 Volume:27 Page:126-137
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Khatibi Toktam¹^ORCID,Rezaei Niloofar¹,Ataei Fashtami Leila²,Totonchi Mehdi³⁴

Affiliation:

1. School of Industrial and Systems Engineering Tarbiat Modares University (TMU) Tehran Iran

2. Department of Regenerative Medicine Royan Institute for Stem Cell Biology & Technology Tehran Iran

3. Department of Reproductive Imaging Reproductive Biomedicine Research Center Royan Institute for Reproductive Biomedicine ACECR Tehran Iran

4. Department of Andrology Reproductive Biomedicine Research Center Royan Institute for Reproductive Biomedicine ACECR Tehran Iran

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/srt.12920

Reference43 articles.

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2. Factors affecting quality of life in patients with vitiligo: a nationwide study

3. Development and Validation of the Vitiligo Extent Score (VES): an International Collaborative Initiative

4. Automated scoring of vitiligo using superpixel-generated computerized digital image analysis of clinical photographs: a novel and consistent way to score vitiligo

5. Assessment methods for the evaluation of vitiligo

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