Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network

Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network

This work presents two approaches to image processing in brain magnetic resonance imaging (MRI) to enhance slice planning during examinations. The first approach involves capturing images from the operator’s console during slice planning for two different brain examinations. From these images, Scale...

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Bibliographic Details
Main Authors: Rávison Amaral Almeida, Júlio César Porto de Carvalho, Antônio Wilson Vieira, Heveraldo Rodrigues de Oliveira, Marcos F. S. V. D’Angelo
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
magnetic resonance imaging
deep learning
computer vision
Online Access:https://www.mdpi.com/2076-3417/15/1/147
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