Monitoring skin condition using life activities on the SNS user documents-Reference-Cited by-同舟云学术

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Monitoring skin condition using life activities on the SNS user documents

Published:2017-04-22 Issue:8 Volume:77 Page:9827-9847
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Rew Jehyeok,Hwang Eenjun,Choi Young-Hwan,Rho Seungmin

Funder

Ministry of Science, ICT and Future Planning (KR)

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4623-z/fulltext.html

Reference24 articles.

1. Akazaka S, Nakagawa H, Kazama H, Osanai O, Kawai M, Takema Y, Imokawa G (2002) Age-related changes in skin wrinkles assessed by a novel three-dimensional morphometric analysis. Br J Dermatol 147:689–695

2. Castro D, Hickson S, Bettadapura V, Thomaz E, Abowd G, Christensen H, Essa I (2015) Predicting daily activities from egocentric images using deep learning. In: Proceedings of the 2015 ACM International symposium on Wearable Computers, pp 75–82

3. Choi Y, Tak Y, Rho S, Hwang E (2013) Skin feature extraction and processing model for statistical skin age estimation. Multimedia Tools and Application 64(2):227–247

4. Choi Y, Kim D, Kim B, Hwang E (2014) Skin texture aging trend analyis using dermoscopy images. Skin Res Technol 20(4):486–497

5. Cula GO, Bargo PR, Nkengne A, Kollias N (2013) Assessing facial wrinkles: automatic detection and quantification. Skin Res Technol 19(1):243–251

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Segmentation Scheme for Skin Features Extraction Using Dermoscopy Images;Computers, Materials & Continua;2021

2. Augmented EMTCNN: A Fast and Accurate Facial Landmark Detection Network;Applied Sciences;2020-03-26

3. Skin Aging Estimation Scheme Based on Lifestyle and Dermoscopy Image Analysis;Applied Sciences;2019-03-23

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