Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry.

Seokhwan Bang Sokhib Tukhtaev Kwang Jin Ko Deok Hyun Han Minki Baek Hwang Gyun Jeon Baek-Hwan Cho Kyu-Sung Lee

Published in: Investigative and clinical urology (2022)

Our study suggests that it is possible to differentiate DUA from non-DUA and BOO from non-BOO using a simple uroflowmetry graph with a fine-tuned VGG16, which is a well-known CNN model.

Keyphrases

urinary tract
deep learning
convolutional neural network
air pollution
high throughput
machine learning
artificial intelligence
neural network