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 …

Artificial intelligence in psoriasis: Where we are and where we are going

Z Liu, X Wang, Y Ma, Y Lin… - Experimental Dermatology, 2023 - Wiley Online Library
Artificial intelligence (AI) is a field of computer science that involves the development of
programs designed to replicate human cognitive processes and the analysis of complex …

Economics of artificial intelligence in healthcare: diagnosis vs. treatment

NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …

Diagnosing melanomas in Dermoscopy images using deep learning

G Alwakid, W Gouda, M Humayun, NZ Jhanjhi - Diagnostics, 2023 - mdpi.com
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …

Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease

CI Moon, J Lee, YS Baek, O Lee - Scientific Reports, 2023 - nature.com
Psoriasis is a skin disease that causes lesions of various sizes across the body and can
persist for years with cyclic deterioration and improvement. During treatment, and a multiple …

Lyme rashes disease classification using deep feature fusion technique

G Ali, M Anwar, M Nauman, M Faheem… - Skin Research and …, 2023 - Wiley Online Library
Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …

[HTML][HTML] An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis

R Sadik, A Majumder, AA Biswas, B Ahammad… - Healthcare …, 2023 - Elsevier
Low contrasts and visual similarity between different skin conditions make skin disease
recognition a challenging task. Current techniques to detect and diagnose skin disease …

[HTML][HTML] Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

K Huang, X Wu, Y Li, C Lv, Y Yan, Z Wu… - Journal of Medical …, 2023 - jmir.org
Background Psoriasis is one of the most frequent inflammatory skin conditions and could be
treated via tele-dermatology, provided that the current lack of reliable tools for objective …

Explainable Deep Learning Approach for Mpox Skin Lesion Detection with Grad-CAM

GM Idroes, TR Noviandy, TB Emran… - Heca Journal of …, 2024 - heca-analitika.com
Mpox is a viral zoonotic disease that presents with skin lesions similar to other conditions
like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis …

Optimized vision transformer encoder with cnn for automatic psoriasis disease detection

G Vishwakarma, AK Nandanwar, GS Thakur - Multimedia Tools and …, 2024 - Springer
Psoriasis is a skin disorder that results in swollen skin cells and red, itchy areas on the skin.
40% of the world's population is currently affected by psoriasis. Nowadays, using skin image …