MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms-Reference-Cited by-同舟云学术

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MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms

Published:2024-05 Issue: Volume:248 Page:108121
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Nissar Iqra^ORCID,Alam Shahzad,Masood Sarfaraz^ORCID,Kashif Mohammad

Publisher

Elsevier BV

Reference60 articles.

1. Breast cancer in young women: an overview;Anastasiadi;Updates Surg.,2017

2. Nissar I., Alam S., Masood S. Recent trends in modalities and deep learning methods for breast cancer detection, 2022, p. 416–34. https://doi.org/10.1007/978-3-031-23092-9_33.

3. Breast cancer detection using infrared thermal imaging and a deep learning model;Mambou;Sensors,2018

4. A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities;Mahmood;IEEe Access,2020

5. Breast cancer: a review of the literature;Richie;J. Insurance Med.-N.Y. D,2003

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3. A lightweight spatially-aware classification model for breast cancer pathology images;Biocybernetics and Biomedical Engineering;2024-07

4. Breast Cancer Molecular Subtype Prediction: A Mammography-Based AI Approach;Biomedicines;2024-06-20

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