Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network

Open Access

Peer-reviewed

Research Article

About the Authors

Taehan Koo

Contributed equally to this work with: Taehan Koo, Moon Hwan Kim

Roles Data curation, Investigation, Writing – original draft, Writing – review & editing

Affiliation Department of Dermatology, Veterans Health Service Medical Center, Seoul, Republic of Korea

Moon Hwan Kim

Contributed equally to this work with: Taehan Koo, Moon Hwan Kim

Roles Data curation, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing

Affiliation School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea

Mihn-Sook Jue

Roles Conceptualization, Project administration, Supervision, Writing – review & editing

Affiliation Department of Dermatology, Veterans Health Service Medical Center, Seoul, Republic of Korea

The authors have declared that no competing interests exist.

Fungal diseases
Is the Subject Area "Fungal diseases" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Dermatology
Is the Subject Area "Dermatology" applicable to this article?

Thanks for your feedback.
Artificial intelligence
Is the Subject Area "Artificial intelligence" applicable to this article?

Thanks for your feedback.
Computer imaging
Is the Subject Area "Computer imaging" applicable to this article?

Thanks for your feedback.
Fungal structure
Is the Subject Area "Fungal structure" applicable to this article?

Thanks for your feedback.
Infection imaging
Is the Subject Area "Infection imaging" applicable to this article?

Thanks for your feedback.
Video microscopy
Is the Subject Area "Video microscopy" applicable to this article?

Thanks for your feedback.