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1.
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
Sensors (Basel)
; 22(15)2022 Jul 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-35957209
2.
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.
Multimed Syst
; 28(3): 815-829, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35068705
3.
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.
PLoS One
; 19(3): e0296352, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38470893
4.
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images.
PLoS One
; 19(3): e0297667, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38507348
5.
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
Multimed Tools Appl
; 82(9): 13855-13880, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36157356
6.
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans.
Bioengineering (Basel)
; 10(2)2023 Feb 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36829697
7.
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images.
Diagnostics (Basel)
; 13(17)2023 Aug 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-37685310
8.
A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis.
J Pers Med
; 12(2)2022 Feb 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35207763
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