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Seung Seog Han

Showing results (11-20 of 18) with videos related to

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Plos One|January 21, 2022
Augmenting the accuracy of trainee doctors in diagnosing skin lesions suspected of skin neoplasms in a real-world setting: A prospective controlled before-and-after studyYoung Jae Kim, Jung-Im Na, Seung Seog Han, et al.
The Journal of Investigative Dermatology|April 4, 2020
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin DisordersSeung Seog Han, Ilwoo Park, Sung Eun Chang, et al.
Plos Medicine|November 25, 2020
Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation studySeung Seog Han, Ik Jun Moon, Seong Hwan Kim, et al.
Journal of Cosmetic and Laser Therapy : Official Publication of the European Society for Laser Dermatology|March 1, 2012
Split-face comparative study of 1550 nm fractional photothermolysis and trichloroacetic acid 15% chemical peeling for facial melasma in Asian skinSeung-Phil Hong, Seung-Seog Han, Seok-Joo Choi, et al.
The Journal of Investigative Dermatology|February 20, 2022
Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled TrialSeung Seog Han, Young Jae Kim, Ik Jun Moon, et al.
Acta Orthopaedica|March 27, 2018
Automated detection and classification of the proximal humerus fracture by using deep learning algorithmSeok Won Chung, Seung Seog Han, Ji Whan Lee, et al.
Scientific Reports|September 28, 2022
The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet searchSeung Seog Han, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
NPJ Digital Medicine|October 8, 2025
Planet-wide performance of a skin disease AI algorithm validated in KoreaSeung Seog Han, Soo Ick Cho, Gröger Fabian, et al.
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Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Plos One|January 21, 2022
Augmenting the accuracy of trainee doctors in diagnosing skin lesions suspected of skin neoplasms in a real-world setting: A prospective controlled before-and-after studyYoung Jae Kim, Jung-Im Na, Seung Seog Han, et al.
The Journal of Investigative Dermatology|April 4, 2020
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin DisordersSeung Seog Han, Ilwoo Park, Sung Eun Chang, et al.
Plos Medicine|November 25, 2020
Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation studySeung Seog Han, Ik Jun Moon, Seong Hwan Kim, et al.
Journal of Cosmetic and Laser Therapy : Official Publication of the European Society for Laser Dermatology|March 1, 2012
Split-face comparative study of 1550 nm fractional photothermolysis and trichloroacetic acid 15% chemical peeling for facial melasma in Asian skinSeung-Phil Hong, Seung-Seog Han, Seok-Joo Choi, et al.
The Journal of Investigative Dermatology|February 20, 2022
Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled TrialSeung Seog Han, Young Jae Kim, Ik Jun Moon, et al.
Acta Orthopaedica|March 27, 2018
Automated detection and classification of the proximal humerus fracture by using deep learning algorithmSeok Won Chung, Seung Seog Han, Ji Whan Lee, et al.
Scientific Reports|September 28, 2022
The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet searchSeung Seog Han, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
NPJ Digital Medicine|October 8, 2025
Planet-wide performance of a skin disease AI algorithm validated in KoreaSeung Seog Han, Soo Ick Cho, Gröger Fabian, et al.
Pageof 2