Skin lesion classification using decision trees and random forest algorithms

CR Dhivyaa, K Sangeetha, M Balamurugan… - Journal of Ambient …, 2020 - Springer
Any superficial skin growth that does not resemble the surrounding area is referred to as
skin lesion. It can occur in the form of mole, bump, cyst, rash or other changes that can be …

Novel approaches for diagnosing melanoma skin lesions through supervised and deep learning algorithms

J Premaladha, KS Ravichandran - Journal of medical systems, 2016 - Springer
Dermoscopy is a technique used to capture the images of skin, and these images are useful
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …

[HTML][HTML] Artificial intelligence for skin cancer detection: scoping review

A Takiddin, J Schneider, Y Yang, A Abd-Alrazaq… - Journal of medical …, 2021 - jmir.org
Background Skin cancer is the most common cancer type affecting humans. Traditional skin
cancer diagnosis methods are costly, require a professional physician, and take time …

Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

MA Khan, MI Sharif, M Raza, A Anjum, T Saba… - Expert …, 2022 - Wiley Online Library
Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …

Ensemble Deep Learning Framework for Classification of Skin Lesions

SB Patil, HVR Rao, K Chatrapathy… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Skin cancer is one of the majority prevalent malignancies that can be diagnosed visually
and then further investigated with dermoscopic analysis and other procedures. Several skin …

[PDF][PDF] Skin lesion segmentation and classification using conventional and deep learning based framework

A Bibi, MA Khan, MY Javed, U Tariq… - Comput. Mater …, 2022 - cdn.techscience.cn
Background: In medical image analysis, the diagnosis of skin lesions remains a challenging
task. Skin lesion is a common type of skin cancer that exists worldwide. Dermoscopy is one …

Skin disease detection using deep learning

S Inthiyaz, BR Altahan, SH Ahammad, V Rajesh… - … in Engineering Software, 2023 - Elsevier
A complex topic such as dermatology makes it one of the most unexpected and challenging
professions to diagnose due to the complexities of the subject matter involved. According to …

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

B Shetty, R Fernandes, AP Rodrigues… - Scientific Reports, 2022 - nature.com
Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

[HTML][HTML] Automated classification of skin lesions: from pixels to practice

A Narla, B Kuprel, K Sarin, R Novoa, J Ko - Journal of Investigative …, 2018 - Elsevier
The letters “Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer
Dataset” and “Automated Dermatological Diagnosis: Hype or Reality?” highlight the …

Artificial intelligence in dermatology: challenges and perspectives

K Liopyris, S Gregoriou, J Dias, AJ Stratigos - Dermatology and Therapy, 2022 - Springer
Artificial intelligence (AI) based on machine learning and convolutional neuron networks
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …