Deep Learning for Semantic Segmentation of Brachial Plexus Nervesin Ultrasound Images Using U-Net and M-Net

The following topics are dealt with: feature extraction; image classification; medical image processing; face recognition; convolutional neural nets; image segmentation; matrix algebra; array signal processing; learning (artificial intelligence).

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Bibliographic Details
Published in2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC) pp. 85 - 89
Main Authors Abraham, Nabila, Illanko, Kandasamy, Khan, Naimul, Androutsos, Dimitri
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2019
Subjects
Anesthesia
Biomedical imaging
Computer architecture
Convolutional Neural Networks
Image segmentation
M-Net
Semantic segmentation
Speckle
Training
U-Net
Ultrasonic imaging
Ultrasound Guided Regional Anesthesia
Online AccessGet full text
DOI10.1109/ICISPC.2019.8935668

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Summary:The following topics are dealt with: feature extraction; image classification; medical image processing; face recognition; convolutional neural nets; image segmentation; matrix algebra; array signal processing; learning (artificial intelligence).
DOI:10.1109/ICISPC.2019.8935668