Advancing breast ultrasound diagnostics through hybrid deep learning models-Reference-Cited by-同舟云学术

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Advancing breast ultrasound diagnostics through hybrid deep learning models

Published:2024-09 Issue: Volume:180 Page:108962
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kiran Ajmeera,Ramesh Janjhyam Venkata Naga,Rahat Irfan Sadiq^ORCID,Khan Mohammad Aman Ullah^ORCID,Hossain Anwar,Uddin Roise

Publisher

Elsevier BV

Reference56 articles.

1. Response to comments on “detection and localization of breast cancer using UWB microwave technology and CNN-lstm framework.”;Lu;IEEE Trans. Microw. Theor. Tech.,2023

2. Comments on “detection and localization of breast cancer using UWB microwave technology and CNN-lstm framework.”;Reimer;IEEE Trans. Microw. Theor. Tech.,2023

3. Response to comments on “detection and localization of breast cancer using UWB microwave technology and CNN-lstm framework.”;Lu;IEEE Trans. Microw. Theor. Tech.,2023

4. Comments on “detection and localization of breast cancer using UWB microwave technology and CNN-lstm framework.”;Reimer;IEEE Trans. Microw. Theor. Tech.,2023

5. High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets;Sahu;Biomed. Signal Process Control,2023

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