정량화 논문들
2023.02.16 15:26
Automating Hair Loss Labels for Universally Scoring Alopecia From Images
https://jamanetwork.com/journals/jamadermatology/fullarticle/2799338?guestAccessKey=f0107bf4-a47b-44c4-b714-4482bb06dc55&utm_source=silverchair&utm_medium=email&utm_campaign=article_alert-jamadermatology&utm_content=etoc&utm_term=021523
A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201159/
Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis
https://www.frontiersin.org/articles/10.3389/fmed.2021.754202/full
Deep Learning Application for Effective Classification of Different Types of Psoriasis
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783723/
Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963214/
MELANOMA
Melanoma diagnosis using deep learning techniques on dermatoscopic images
https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-020-00534-8
Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas
https://pubmed.ncbi.nlm.nih.gov/35032502/
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번호 | 제목 | 글쓴이 | 날짜 | 조회 수 |
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184 | 이사 감사 3년 변경등기 | WHRIA | 2015.12.02 | 76 |
183 | 참고 또 참고 | WHRIA | 2020.01.03 | 76 |
182 | 식약청 메뉴 | WHRIA | 2020.05.14 | 76 |
181 | pstools | WHRIA | 2016.07.31 | 74 |
180 | retinanet nvidia [3] | WHRIA | 2020.01.12 | 74 |
179 | rsynccp | WHRIA | 2023.02.20 | 74 |
178 | 증시의 허풍 예언들 | WHRIA | 2015.11.20 | 73 |
177 | php 세션 로그인 | WHRIA | 2020.04.24 | 72 |
176 | startup | WHRIA | 2020.05.08 | 72 |
175 | chat GPT | WHRIA | 2023.02.16 | 72 |
174 | MDR - PL | WHRIA | 2023.05.11 | 72 |
173 | CIDR 표기법 [1] | WHRIA | 2020.03.12 | 70 |
172 | center % crop | WHRIA | 2018.12.27 | 69 |
» | 정량화 논문들 | WHRIA | 2023.02.16 | 69 |
170 | psexec | WHRIA | 2016.07.28 | 68 |