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

S Riaz, A Naeem, H Malik, RA Naqvi, WK Loh - Sensors, 2023 - mdpi.com
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …

A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks

A Alhudhaif, B Almaslukh, AO Aseeri, O Guler… - Chaos, Solitons & …, 2023 - Elsevier
Skin cancer is one of the most common cancer types that negatively affect human life
worldwide and can result in death. So early diagnosis is essential for patient treatment …

ABANet: Attention boundary‐aware network for image segmentation

S Rezvani, M Fateh, H Khosravi - Expert Systems, 2024 - Wiley Online Library
Deep learning techniques have attained substantial progress in various face‐related tasks,
such as face recognition, face inpainting, and facial expression recognition. To prevent …

[HTML][HTML] MFEUsLNet: Skin cancer detection and classification using integrated AI with multilevel feature extraction-based unsupervised learning

VD Midasala, B Prabhakar, JK Chaitanya… - … Science and Technology …, 2024 - Elsevier
Skin Cancer is the most common form of the disease and is responsible for millions of
deaths each year. Most of the relevant studies concentrate on algorithms that are based on …

MRI and CT image fusion using synchronized anisotropic diffusion equation with DT-CWT decomposition

V Aakaaram, S Bachu - 2022 Smart Technologies …, 2022 - ieeexplore.ieee.org
Medical image fusion plays the major role in many applications including brain tumor
segmentation, and classification. But the conventional methods are suffering with colour …

SCDet: A Robust Approach for the Detection of Skin Lesions

S Sikandar, R Mahum, AE Ragab, SY Yayilgan… - Diagnostics, 2023 - mdpi.com
Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are
known as skin cancer that is categorized into two types: benign and malignant. Skin cancer …

Skin lesion classification using modified deep and multi-directional invariant handcrafted features

J Pradhan, A Singh, A Kumar, MK Khan - Journal of Network and Computer …, 2024 - Elsevier
Skin lesions encompass various skin conditions, including cancerous growths resulting from
uncontrolled proliferation of skin cells. Globally, this disease affects a significant portion of …

DACB-Net: Dual attention guided compact bilinear convolution neural network for skin disease classification

B Ahmad, M Usama, T Ahmad, A Saeed… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces the three-branch Dual Attention-Guided Compact Bilinear CNN
(DACB-Net) by focusing on learning from disease-specific regions to enhance accuracy and …

Detection and classification of skin cancer using unmanned transfer learning based probabilistic multi-layer dense networks

V Nyemeesha, M Kavitha… - International Journal of …, 2022 - World Scientific
Skin cancer is one of the most dangerous cancers that may occur for different age groups of
people. As a result, early identification of skin cancer has the potential to save millions of …

MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization

G Deepak, M Madiajagan, S Kulkarni… - Journal of X-Ray …, 2023 - content.iospress.com
BACKGROUND: COVID-19 is the most dangerous virus, and its accurate diagnosis saves
lives and slows its spread. However, COVID-19 diagnosis takes time and requires trained …