Ahmad Naeem

Multan, PB 60000, Pakistan

Last Updated: 09/26/2026

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Found 10 publications

ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.

ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.

Journal: Journal of imaging
Published: July 21, 2025

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

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Journal: Sensors (Basel, Switzerland)
Published: August 04, 2023

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images.

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images.

Journal: Cancers
Published: March 07, 2023

Multi-classification deep neural networks for identification of fish species using camera captured images.

Multi-classification deep neural networks for identification of fish species using camera captured images.

Journal: PloS one
Published: February 24, 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

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.

Journal: Sensors (Basel, Switzerland)
Published: November 29, 2022

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
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Last Updated: 09/26/2026