Development of a Deep Learning-Based Predictive Model for Improvement after Holmium Laser Enucleation of the Prostate According to Detrusor Contractility
The DNN model provides detailed and accurate predictions for recovery after HoLEP, providing valuable insights for clinicians managing patients with LUTS/BPH.
Authors
- Myung Jin Chung (ORCID: https://orcid.org/0000-0002-6271-3343)
- Kwang Jin Ko (ORCID: https://orcid.org/0000-0003-1085-1266)
- Kyu‐Sung Lee (ORCID: https://orcid.org/0000-0003-0891-2488)
- Jong Hoon Lee (ORCID: https://orcid.org/0000-0002-3799-3312)
- J.H. Kim (ORCID: https://orcid.org/0009-0001-9593-701X)
Institutions
- Samsung Medical Center (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- International Neurourology Journal
- Published
- 2024-11-29
- DOI
- https://doi.org/10.5213/inj.2448362.181
- Citations
- 2
- Primary Topic
- Urinary Bladder and Prostate Research
- Type
- article
- Field-Weighted Citation Impact
- 1.07
Funders
- Sungkyunkwan University
- National IT Industry Promotion Agency
- Ministry of Science and ICT, South Korea
- Samsung