Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling-Reference-Cited by-同舟云学术

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Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling

Published:2023-11 Issue: Volume:145 Page:102679
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Kim Semin,Yoon Huisu,Lee Jongha,Yoo Sangwook

Funder

Ministry of Science, ICT and Future Planning

National IT Industry Promotion Agency

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference56 articles.

1. How much older do you get when a wrinkle appears on your face? Modifying age estimates by number of wrinkles;Aznar-Casanova;Aging Neuropsychol Cogn,2010

2. Robust symbolic dual-view facial expression recognition with skin wrinkles: local versus global approach;Huang;IEEE Trans Multimed,2010

3. Three-dimensional model-based analysis of vascular and cardiac images;Frangi,2001

4. Automatic wrinkle detection using hybrid Hessian filter;Ng,2015

5. Wrinkle detection using Hessian line tracking;Ng;IEEE Access,2015

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2. Semi-Supervised Facial Acne Segmentation Using Bidirectional Copy–Paste;Diagnostics;2024-05-17

3. A novel approach to the detection of facial wrinkles: Database, detection algorithm, and evaluation metrics;Computers in Biology and Medicine;2024-05

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