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

Wahyudi I, Utomo CP, Djauzi S, Fathurahman M, Situmorang GR, Rodjani A, Raharja PAR, Yonathan K, Santoso B, Khresna D, Raditya M

Open source

DOI: 10.2196/65811
Published: 2025 Sep 10
Container: JMIR research protocols
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/65811,
  title = {Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.},
  author = {Wahyudi I and Utomo CP and Djauzi S and Fathurahman M and Situmorang GR and Rodjani A and Raharja PAR and Yonathan K and Santoso B and Khresna D and Raditya M},
  year = {2025},
  journal = {JMIR research protocols},
  doi = {10.2196/65811},
  url = {https://doi.org/10.2196/65811}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.
AU  - Wahyudi I
AU  - Utomo CP
AU  - Djauzi S
AU  - Fathurahman M
AU  - Situmorang GR
AU  - Rodjani A
AU  - Raharja PAR
AU  - Yonathan K
AU  - Santoso B
AU  - Khresna D
AU  - Raditya M
PY  - 2025
JO  - JMIR research protocols
DO  - 10.2196/65811
UR  - https://doi.org/10.2196/65811
ER  -

APA

I, W., CP, U., S, D., M, F., GR, S., A, R., PAR, R., K, Y., B, S., D, K., & M, R. (2025). Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.. JMIR research protocols. https://doi.org/10.2196/65811

Source records

pubmed · retrieved 2026-09-25T10:32:57.097Z