[HTML][HTML] Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey

M Zafar, MI Sharif, MI Sharif, S Kadry, SAC Bukhari… - Life, 2023 - mdpi.com
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

[HTML][HTML] Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review

F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …

A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images

F Alenezi, A Armghan, K Polat - Expert Systems with Applications, 2023 - Elsevier
This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …

[HTML][HTML] Skin Cancer Detection Using Deep Learning—A Review

M Naqvi, SQ Gilani, T Syed, O Marques, HC Kim - Diagnostics, 2023 - mdpi.com
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm

L Zhang, J Zhang, W Gao, F Bai, N Li… - … Signal Processing and …, 2024 - Elsevier
Skin cancer is a risky ailment that can be effectively managed if detected promptly. However,
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …

[HTML][HTML] A skin disease classification model based on densenet and convnext fusion

M Wei, Q Wu, H Ji, J Wang, T Lyu, J Liu, L Zhao - Electronics, 2023 - mdpi.com
Skin disease is one of the most common diseases. Due to the intricate categories of skin
diseases, their symptoms being very similar in the early stage, and the lesion samples being …

[HTML][HTML] Henry gas solubility optimization algorithm based feature extraction in dermoscopic images analysis of skin cancer

M Obayya, A Alhebri, M Maashi, A S. Salama… - Cancers, 2023 - mdpi.com
Simple Summary Early diagnosis of skin cancer is vital for providing effective treatment for
patients. Dermoscopy is a non-invasive approach that utilizes specific equipment to examine …

[HTML][HTML] A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images

F Alenezi, A Armghan, K Polat - Diagnostics, 2023 - mdpi.com
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …

[HTML][HTML] Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

TG Debelee - Diagnostics, 2023 - mdpi.com
Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …

Timely detection of skin cancer: An AI-based approach on the basis of the integration of Echo State Network and adapted Seasons Optimization Algorithm

M Han, S Zhao, H Yin, G Hu, N Ghadimi - Biomedical Signal Processing …, 2024 - Elsevier
The present study proposes an innovative computer-assisted method that automates the
process of promptly identifying skin cancer. Initially, the input images are preprocessed to …