Tayyaba Anees

Lahore, PB, Pakistan

Last Updated: 09/26/2026

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Found 8 publications

DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images.

DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images.

Journal: PloS one
Published: November 03, 2023

RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.

RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.

Journal: PloS one
Published: September 16, 2023

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images.

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images.

Journal: Diagnostics (Basel, Switzerland)
Published: July 31, 2023

Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans.

Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans.

Journal: Bioengineering (Basel, Switzerland)
Published: January 16, 2023

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.

Journal: Sensors (Basel, Switzerland)
Published: June 28, 2022

A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis.

A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis.

Journal: Journal of personalized medicine
Published: January 19, 2022

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.

Journal: Multimedia tools and applications
Published: January 17, 2022

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.

BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.

Journal: Multimedia systems
Published: May 16, 2021
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Last Updated: 09/26/2026