Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

Computational methods for pigmented skin lesion classification in images: review and future trends

RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …

A multi-class skin Cancer classification using deep convolutional neural networks

SS Chaturvedi, JV Tembhurne, T Diwan - Multimedia Tools and …, 2020 - Springer
Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …

[HTML][HTML] Skin lesion classification with ensembles of deep convolutional neural networks

B Harangi - Journal of biomedical informatics, 2018 - Elsevier
Skin cancer is a major public health problem with over 123,000 newly diagnosed cases
worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over …

Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosis

Y Fujisawa, Y Otomo, Y Ogata… - British Journal of …, 2019 - academic.oup.com
Background Application of deep‐learning technology to skin cancer classification can
potentially improve the sensitivity and specificity of skin cancer screening, but the number of …

Multimodal skin lesion classification using deep learning

J Yap, W Yolland, P Tschandl - Experimental dermatology, 2018 - Wiley Online Library
While convolutional neural networks (CNNs) have successfully been applied for skin lesion
classification, previous studies have generally considered only a single clinical/macroscopic …

MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images

I Giotis, N Molders, S Land, M Biehl… - Expert systems with …, 2015 - Elsevier
Melanoma is one of the most aggressive types of skin cancer and in many cases it is difficult
to differentiate from benign naevi. In this contribution we present a decision support (expert) …

Diagnosis of skin cancer using machine learning techniques

A Murugan, SAH Nair, AAP Preethi… - Microprocessors and …, 2021 - Elsevier
Generally, skin disease is a common one in human diseases. In computer vision application,
the skin color is the powerful indication for this disease. This system identifies the skin …

[HTML][HTML] MSRNet: multiclass skin lesion recognition using additional residual block based fine-tuned deep models information fusion and best feature selection

S Bibi, MA Khan, JH Shah, R Damaševičius, A Alasiry… - Diagnostics, 2023 - mdpi.com
Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …

[HTML][HTML] Analysis of dermoscopy images by using ABCD rule for early detection of skin cancer

EM Senan, ME Jadhav - Global Transitions Proceedings, 2021 - Elsevier
Melanoma is the most deadly type of skin cancer in humans. Which occurs as a result of a
change in the pigment of the skin, which is known as pigment cells. Which produces a …