Automated color Doppler ultrasound analysis of bull reproductive tissues using a machine learning-based image processing algorithm

Color Doppler ultrasound is effective for studying tissue perfusion of various organs, but current analysis methods are subjective and time-consuming. This study aims to develop and validate an algorithm for analyzing color Doppler images of the bull's testis and pampiniform plexus. For the stu...

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Vydáno v:	Animal reproduction science Ročník 281; s. 107997
Hlavní autoři:	Gonçalves, Joedson Dantas, Guimarães, Edilson, Arruda, Rubens Paes, Oliveira, Maria Emilia Franco, Arikawa, Leonardo Machestropa, Garcia, Alexandre Rossetto
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.10.2025
Témata:	Algorithms Animals Artificial intelligence Automated analysis Cattle - anatomy & histology Diagnostic imaging Doppler ultrasound Image Processing, Computer-Assisted - methods Machine Learning Male Testis - blood supply Testis - diagnostic imaging Ultrasonography, Doppler, Color - methods Ultrasonography, Doppler, Color - veterinary Vascular function Veterinary imaging Automated analysis Diagnostic imaging Artificial intelligence Doppler ultrasound Vascular function Veterinary imaging
ISSN:	0378-4320, 1873-2232, 1873-2232
On-line přístup:	Získat plný text
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