Deep Learning-Based Acne Severity Classification Using Standardized Facial Images of Japanese Patients

Our deep learning model, trained on a dedicated Japanese dataset, can classify acne severity with high accuracy. This tool has the potential to support objective clinical assessment, standardize evaluation, and potentially contribute to reducing the risk of PIH and scarring by facilitating timely and appropriate treatment.

Authors

Atsushi Otsuka (ORCID: https://orcid.org/0000-0001-7365-947X)
Chisa Nakashima (ORCID: https://orcid.org/0000-0002-9653-6824)
Naoki Oiso (ORCID: https://orcid.org/0000-0001-5593-6496)
H. Yamamoto
Kimi Iinuma
Keiko Watanabe

Institutions

Nara University (JP)
Nara City Hospital (JP)
Nara Medical University Hospital (JP)
Kindai University (JP)

Publication Details

Journal: Cureus
Published: 2025-09-09
DOI: https://doi.org/10.7759/cureus.91944
Primary Topic: Acne and Rosacea Treatments and Effects
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning-Based Acne Severity Classification Using Standardized Facial Images of Japanese Patients

Atsushi Otsuka, Chisa Nakashima, Naoki Oiso, H. Yamamoto et al.

Sep 9, 2025

Cureus

Acne and Rosacea Treatments and Effects

article

Deep Learning-Based Acne Severity Classification Using Standardized Facial Images of Japanese Patients

Atsushi Otsuka, Chisa Nakashima, Naoki Oiso, H. Yamamoto, Kimi Iinuma, Keiko Watanabe

September 9, 2025article en

Abstract

Our deep learning model, trained on a dedicated Japanese dataset, can classify acne severity with high accuracy. This tool has the potential to support objective clinical assessment, standardize evaluation, and potentially contribute to reducing the risk of PIH and scarring by facilitating timely and appropriate treatment.

CureusVol. 17(9)

Nara University (JP), Nara City Hospital (JP), Nara Medical University Hospital (JP), Kindai University (JP)

Openalex Percentile: Top 57%

Acne and Rosacea Treatments and Effects

DOI Open Access PDF OpenAlex

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Deep Learning-Based Acne Severity Classification Using Standardized Facial Images of Japanese Patients — Atsushi Otsuka, Chisa Nakashima, et al. · Cureus (2025) | TGRS Research Map | TGRS