Hair removal and lesion segmentation of dermoscopic images for classification of skin cancer using deep neural networks

Aqib Shahzaib; Abdul Basit Siddiqui; Nadeem Anjum; Masood Ur Rehman; Naeem Ramzan

doi:10.1016/j.eij.2025.100844

Q1 2025

Hair removal and lesion segmentation of dermoscopic images for classification of skin cancer using deep neural networks

Aqib Shahzaib · Abdul Basit Siddiqui · Nadeem Anjum · Masood Ur Rehman · Naeem Ramzan

10.1016/j.eij.2025.100844 388 Views 3 Citations

Citations

388

Views

Abstract not available for this publication.

Cite this Article (APA)

Aqib, S., Abdul, B. S., Nadeem, A., Masood, U. R., Naeem, R. (2025). Hair removal and lesion segmentation of dermoscopic images for classification of skin cancer using deep neural networks. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2025.100844

Hassan, N.; Al-Khatib, M.; Zeki, A. · 2023

cites

1,895

Blockchain-based secure electronic health records in Egypt

Nour, A.; El-Shenawy, H. · 2023

cites

2,385

Machine learning for predicting water quality in Nile River tributaries

Ibrahim, T.; Khalil, M.; Hassan, R. · 2024

cites

894

A robust deep learning pipeline for multi-class cervical cancer cell identification