Assessment of ovarian follicular reserve according to ultrasound data based on machine learning methods

Assessment of ovarian follicular reserve according to ultrasound data based on machine learning methods

BACKGROUND: Ovarian reserve reflects a woman's ability to successfully realize reproductive function. The assessment of ovarian reserve is an urgent task for clinical practice [1] and is important in scientific research. The use of computerized diagnostic image processing methods can accelerate...

Full description

Bibliographic Details
Main Authors: Fedor A. Laputin, Ivan V. Sidorov, Andrey S. Moshkin
Format: Article
Language:English
Published: Eco-Vector 2024-07-01
Series:Digital Diagnostics
Subjects:
ultrasound diagnostics
ovary diagnostics
follicle diagnostics
machine learning
deep learning
segmentation
object detection
Online Access:https://jdigitaldiagnostics.com/DD/article/viewFile/626171/pdf

Internet

https://jdigitaldiagnostics.com/DD/article/viewFile/626171/pdf

Similar Items