An extensive investigation into the use of machine learning tools and deep neural networks for the recognition of skin cancer: challenges, future directions, and a …

SI Hussain, E Toscano - Symmetry, 2024 - mdpi.com
Skin cancer poses a serious risk to one's health and can only be effectively treated with early
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …

Fusion of transformer attention and CNN features for skin cancer detection

HC Reis, V Turk - Applied Soft Computing, 2024 - Elsevier
Melanoma is a skin cancer that spreads quickly and has serious risks. Early diagnosis is
essential, but since the symptoms of skin lesions in the early stages are vague and similar …

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

H Lindroth, K Nalaie, R Raghu, IN Ayala, C Busch… - Journal of …, 2024 - mdpi.com
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …

Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets

O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection

MT Ahad, S Mustofa, F Ahmed, YR Emon… - arXiv preprint arXiv …, 2024 - arxiv.org
In deep learning, transfer learning and ensemble models have shown promise in improving
computer-aided disease diagnosis. However, applying the transfer learning and ensemble …

DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection

HC Reis, V Turk - Pattern Recognition, 2025 - Elsevier
Skin cancer is a common type of cancer worldwide. Early diagnosis of skin cancer can
reduce the risk of death by increasing treatment success. However, it is challenging for …

Enhancing the performance of CNN models for pneumonia and skin cancer detection using novel fractional activation function

M Kumar, U Mehta - Applied Soft Computing, 2025 - Elsevier
This paper introduces a novel Riemann–Liouville (RL) conformable fractional derivative
based Adaptable-Shifted-Fractional-Rectified-Linear-Unit, briefly called RL ASFReLU, and …

A multi-level closing based segmentation framework for dermatoscopic images using ensemble deep network

V Srivastava, S Gupta, R Singh, VK Gautam - International Journal of …, 2024 - Springer
Skin cancer, especially melanoma is a lethal form of cancer whose prevalence is increasing
in recent times with increased exposure to ultra-violet rays and use of harmful skin …

EffiCAT: A synergistic approach to skin disease classification through multi-dataset fusion and attention mechanisms

A Sasithradevi, S Kanimozhi, P Sasidhar… - … Signal Processing and …, 2025 - Elsevier
Early and accurate diagnosis of skin diseases is essential for their efficient treatment and
effective management. Conventional approaches typically depend on the use of a single …

Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty

U Azam, I Razzak, S Vishwakarma, H Hacid… - … Conference on Web …, 2024 - Springer
The growing capabilities of AI raise questions about their trustworthiness in healthcare,
particularly due to opaque decision-making and limited data availability. This paper …