Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images-Reference-Cited by-同舟云学术

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Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images

Published:2023-11 Issue:11 Volume:9 Page:e22406
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Alotaibi Mohammed^ORCID,Aljouie Abdulrhman,Alluhaidan Najd,Qureshi Wasem^ORCID,Almatar Hessa,Alduhayan Reema^ORCID,Alsomaie Barrak,Almazroa Ahmed

Funder

King Abdullah International Medical Research Center

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference48 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA A Cancer J. Clin.,2021

2. Breast cancer mortality in Saudi Arabia: modelling observed and unobserved factors;Alotaibi;PLoS One,2018

3. A decision support system for mammography reports interpretation;Esmaeili;Health Inf. Sci. Syst.,2020

4. Reducing unnecessary biopsy and follow-up of benign cystic breast lesions;Berg;Radiology,2020

5. A novel algorithm for initial lesion detection in ultrasound breast images;Yap;J. Appl. Clin. Med. Phys.,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the effect of tissue stimulation at different frequencies on breast lesion classification based on nonlinear features using a novel radio frequency time series approach;Heliyon;2024-07

2. Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies;IEEE Access;2024

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