ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications DOI
Ahmad Chaddad,

Changhong He,

Yuchen Jiang

et al.

Published: Dec. 4, 2023

Language: Английский

Advancing prostate cancer diagnosis and treatment through pathomics and artificial intelligence DOI
Derek J. Van Booven, Cheng-Bang Chen, Abhishek Gupta

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 41 - 66

Published: Oct. 25, 2024

Language: Английский

Citations

0
Biomedical image characterization and radio genomics using machine learning techniques DOI
Felix O. Okunlola,

Tomi Gloria Adetuyi,

Peace Abiodun Olajide

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 397 - 421

Published: Nov. 22, 2024

Language: Английский

Citations

0
Prostate Cancer Classification and Interpretation With Multiparametric Magnetic Resonance Imaging and Gleason Grade Score Using DarkNet53 Model DOI

V.P. Gladis Pushparathi,

Diego Ricardo Xavier,

P. Chitra

et al.

The Prostate, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

ABSTRACT Background Prostate Cancer (PCa) increases the mortality rate of males worldwide and is caused by genetics, lifestyle, age reasons. The existing automated PCa classification systems face difficulties with overfitting issues, non‐generalizability, leading to poor performance. Objective On this account, study proposes an from MRI images using a hybrid weighted mean vectors‐optimized DarkNet53 classifier model. Methodology proposed method suggests nonlocal filtering for noise reduction, N4ITK bias field correction enhance image quality, active contour‐based segmentation accurately identifying disease region. feature extraction utilizes gray level run length matrix shape features effective extraction. A vectors optimization used optimize selection process hybridizing it model classification. Finally, interpretation achieving has been demonstrated explainable AI Grad‐CAM Results After comparing work various state‐of‐the‐art algorithms, achieves 99.31% accuracy, 98.24% sensitivity, 98.46% specificity, respectively, highlighting model's accomplishment classifier.

Language: Английский

Citations

0
The Horizon: Future of Focal Therapy in Prostate Cancer DOI
Alessandro Marquis, Ardeshir R. Rastinehad

Published: Jan. 1, 2024

Language: Английский

Citations

0
ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications DOI
Ahmad Chaddad,

Changhong He,

Yuchen Jiang

et al.

Published: Dec. 4, 2023

Language: Английский

Citations

1