[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 …

Enhanced Skin Disease Diagnosis through Convolutional Neural Networks and Data Augmentation Techniques

M Abbas, M Arslan, RA Bhatty, F Yousaf… - Journal of Computing & …, 2024 - jcbi.org
Skin diseases are among the most common and widespread diseases affecting people
around the world. Global warming and climate change are the two main factors leading to …

Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants

P Akkajit, A Sukkuea, B Thongnonghin - Ecological Informatics, 2023 - Elsevier
Wastewater treatment plants offer an important pathway for microplastics (MPs) to enter
natural aquatic systems. Traditional MP analysis often involves manual sorting of MPs …

[HTML][HTML] A Fine-Tuned Hybrid Stacked CNN to Improve Bengali Handwritten Digit Recognition

R Amin, MS Reza, Y Okuyama, Y Tomioka, J Shin - Electronics, 2023 - mdpi.com
Recognition of Bengali handwritten digits has several unique challenges, including the
variation in writing styles, the different shapes and sizes of digits, the varying levels of noise …

Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis

A Nazir, A Hussain, M Singh, A Assad - Multimedia Tools and Applications, 2024 - Springer
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …

Optimized vision transformer encoder with cnn for automatic psoriasis disease detection

G Vishwakarma, AK Nandanwar, GS Thakur - Multimedia Tools and …, 2023 - 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 …

[HTML][HTML] YoTransViT: A transformer and CNN method for predicting and classifying skin diseases using segmentation techniques

DK Saha, AM Joy, A Majumder - Informatics in Medicine Unlocked, 2024 - Elsevier
Skin disease cases are becoming more common, and diagnosing these diseases in a clinic
is never an easy task. A deep learning (DL) based model was previously used to diagnose …

[HTML][HTML] An extensive investigation of Convolutional Neural Network designs for the diagnosis of Lumpy skin disease in Dairy Cows

DK Saha - Heliyon, 2024 - cell.com
Cow diseases are a major source of concern for people. Some diseases in animals that are
discovered in their early stages can be treated while they are still treatable. If lumpy skin …

Skin Cancer Detection Approach Using Convolutional Neural Network Artificial Intelligence

SN Hayat, R Indraswari - … Journal of Informatics and Information Systems, 2024 - ijiis.org
Skin cancer is a type of cancer that can cause death, where skin cancer is included in the 15
common cancers that occur in Indonesia. The number of skin cancer sufferers was around …

An Overview of Various Approaches for Automated Skin Diseases Prognosis

M Supe, V Bendre - 2023 7th International Conference On …, 2023 - ieeexplore.ieee.org
The majority of diseases in the world are skin-related. The complexity of the skin's structure
makes treating skin problems a difficult task for the global health community. Because of this …