Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …
O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
Enhancing the performance of CNN models for pneumonia and skin cancer detection using novel fractional activation function
This paper introduces a novel Riemann–Liouville (RL) conformable fractional derivative
based Adaptable-Shifted-Fractional-Rectified-Linear-Unit, briefly called RL ASFReLU, and …
based Adaptable-Shifted-Fractional-Rectified-Linear-Unit, briefly called RL ASFReLU, and …
[HTML][HTML] A Hybrid Trio-Deep Feature Fusion Model for Improved Skin Cancer Classification: Merging Dermoscopic and DCT Images
O Attallah - Technologies, 2024 - mdpi.com
The precise and prompt identification of skin cancer is essential for efficient treatment.
Variations in colour within skin lesions are critical signs of malignancy; however …
Variations in colour within skin lesions are critical signs of malignancy; however …
Advanced Skin Cancer Classification using EfficientNetB1: Enhancing Diagnosis and Interpretability
P Shah, K Kadel, K Sankar, R Sugumar… - … on Smart Electronics …, 2024 - ieeexplore.ieee.org
Skin cancer is a major global health concern, and early detection is crucial for effective
treatment. This research presents a novel approach to skin cancer classification utilizing the …
treatment. This research presents a novel approach to skin cancer classification utilizing the …
[PDF][PDF] Unveiling Dermatological Threats: Deep Learning-Based Skin Cancer Classification from Lesion Images
P Manikandaprabhu, MV Pradish - 2024 - researchgate.net
In the present-day period, pores and skin disorders have emerged as major health issues,
necessitating advanced analysis techniques. Partitioning the lesion vicinity is a vital step in …
necessitating advanced analysis techniques. Partitioning the lesion vicinity is a vital step in …
[引用][C] ADVANCING DERMATOLOGIC ONCOLOGY USING PARAMETER-REFINED DEEP LEARNING-DRIVEN STRATEGY FOR ENHANCED PRECISION …
Dermatologic oncology's precision medicine revolutionizes skin cancer detection by
integrating advanced technologies and personalized patient data. Dermatologic oncology …
integrating advanced technologies and personalized patient data. Dermatologic oncology …