An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm-Reference-Cited by-同舟云学术

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An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm

Published:2024-11 Issue: Volume:137 Page:109152
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Jabeen Kiran,Khan Muhammad Attique,Damaševičius Robertas^ORCID,Alsenan Shrooq,Baili Jamel,Zhang Yu-Dong^ORCID,Verma Amit

Funder

King Saud University

Princess Nourah Bint Abdulrahman University

King Khalid University

Publisher

Elsevier BV

Reference50 articles.

1. A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection;Abdel-Basset;Artif. Intell. Rev.,2021

2. A hybrid end-to-end learning approach for breast cancer diagnosis: convolutional recurrent network;Aslan;Comput. Electr. Eng.,2023

3. Vision-Transformer-based transfer learning for mammogram classification;Ayana;Diagnostics,2023

4. Radiation therapy for breast cancer: literature review;Balaji;Med. Dosim.,2016

5. Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer;Beura;Neurocomputing,2015

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