A review of deep learning-based information fusion techniques for multimodal medical image classification-Reference-Cited by-同舟云学术

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A review of deep learning-based information fusion techniques for multimodal medical image classification

Published:2024-07 Issue: Volume:177 Page:108635
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Yihao,El Habib Daho Mostafa^ORCID,Conze Pierre-Henri^ORCID,Zeghlache Rachid,Le Boité Hugo^ORCID,Tadayoni Ramin,Cochener Béatrice,Lamard Mathieu,Quellec Gwenolé^ORCID

Funder

French National Research Agency

Publisher

Elsevier BV

Reference268 articles.

1. Multi-modal data Alzheimer’s disease detection based on 3D convolution;Kong;Biomed. Signal Process. Control,2022

2. BPGAN: brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer’s disease diagnosis;Zhang;Comput. Methods Programs Biomed.,2022

3. Multi-modality cascaded convolutional neural networks for Alzheimer’s disease diagnosis;Liu;Neuroinformatics,2018

4. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network;Qian;Eur. Radiol.,2020

5. Artificial intelligence–based classification of breast lesions imaged with a multiparametric breast MRI protocol with ultrafast DCE-MRI, T2, and DWI;Dalmis;Invest. Radiol.,2019

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