Enhanced Diagnosis of Skin Cancer from Dermoscopic Images Using Alignment Optimized Convolutional Neural Networks and Grey Wolf Optimization
Muhammad Imran(Institute of Engineering), Ahmad Naeem(Air University), Muhammad Fuzail(Institute of Engineering), Naeem Aslam(Islamia University of Bahawalpur), Haroon Ahmad
Cited by 12
Related Papers
DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
|Cancers|2023|213
Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities
|IEEE Access|2020|182
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
|Sensors|2022|119
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays
|Multimedia Tools and Applications|2022|118
A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis
|Journal of Personalized Medicine|2022|101