Convolutional Neural Networks Based Classification of Segmented Breast Ultrasound Images – A Comparative Preliminary Study-Reference-Cited by-同舟云学术

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Convolutional Neural Networks Based Classification of Segmented Breast Ultrasound Images – A Comparative Preliminary Study

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 Intelligent Methods, Systems, and Applications (IMSA)
language:
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Author:

GadAllah Mohammed Tarek¹,Mohamed Abd El-Naser A.²,Hefnawy Alaa A.¹,Zidan Hassan E.¹,El-Banby Ghada M.³,Mohamed Badawy Samir³

Affiliation:

1. Electronics Research Institute (ERI),Computers and Systems Department,Cairo,Egypt

2. Menoufia University,Faculty of Electronic Engineering,Electronics and Electrical Communications Engineering Department,Menoufia,Egypt

3. Menoufia University,Faculty of Electronic Engineering,Industrial Electronics and Control Engineering Department,Menoufia,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217215/10217348/10217585.pdf?arnumber=10217585

Reference47 articles.

1. Deep Learning in Breast Cancer Detection and Classification

2. Breast Ultrasound Image Classification Using a Pre-Trained Convolutional Neural Network

3. Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks

4. Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

5. Deep Learning Approaches for Data Augmentation and Classification of Breast Masses using Ultrasound Images

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