Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Authors

Gerhard Reinaldi Situmorang (ORCID: https://orcid.org/0000-0002-3614-6779)
Kevin Yonathan (ORCID: https://orcid.org/0000-0002-3089-0652)
Irfan Wahyudi (ORCID: https://orcid.org/0000-0003-0657-5190)
Samsuridjal Djauzi (ORCID: https://orcid.org/0000-0002-1419-8383)
Muhamad Fathurahman (ORCID: https://orcid.org/0000-0003-0494-102X)
Arry Rodjani (ORCID: https://orcid.org/0000-0002-5118-2444)
Putu Angga Risky Raharja (ORCID: https://orcid.org/0000-0003-4951-2827)
Dwidian Khresna
Marco Raditya (ORCID: https://orcid.org/0009-0002-2458-4795)
Budi Santoso
Chandra Prasetyo Utomo

Institutions

Yarsi University (ID)
University of Indonesia (ID)
Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)

Publication Details

Journal: JMIR Research Protocols
Published: 2026-03-02
DOI: https://doi.org/10.2196/89351
Primary Topic: Genital Health and Disease
Type: article
Field-Weighted Citation Impact: 0.00

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article

Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Gerhard Reinaldi Situmorang, Kevin Yonathan, Irfan Wahyudi, Samsuridjal Djauzi et al.

Mar 2, 2026

JMIR Research Protocols

Genital Health and Disease

article

Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Gerhard Reinaldi Situmorang, Kevin Yonathan, Irfan Wahyudi, Samsuridjal Djauzi, Muhamad Fathurahman, Arry Rodjani, Putu Angga Risky Raharja, Dwidian Khresna, Marco Raditya, Budi Santoso, Chandra Prasetyo Utomo

March 2, 2026article en

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 15

Yarsi University (ID), University of Indonesia (ID), Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)

Gender equality

Openalex Percentile: Top 37%

Genital Health and Disease

DOI Open Access PDF OpenAlex

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