A survey of feature extraction in dermoscopy image analysis of skin cancer

C Barata, ME Celebi, JS Marques - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

[HTML][HTML] Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults

LF di Ruffano, Y Takwoingi, J Dinnes… - The Cochrane …, 2018 - ncbi.nlm.nih.gov
Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

T Akram, MA Khan, M Sharif, M Yasmin - Journal of Ambient Intelligence …, 2018 - Springer
The number of deaths caused by melanoma has increased remarkably in the last few years
which are the carcinogenic type of skin cancer. Lately, computer based methods are …

Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

N Spolaôr, HD Lee, AI Mendes, CV Nogueira… - Multimedia Tools and …, 2024 - Springer
Convolutional neural networks have been effective in several applications, arising as a
promising supporting tool in a relevant Dermatology problem: skin cancer diagnosis …

[HTML][HTML] Towards accurate diagnosis of skin lesions using feedforward back propagation neural networks

S Moldovanu, CD Obreja, KC Biswas, L Moraru - Diagnostics, 2021 - mdpi.com
In the automatic detection framework, there have been many attempts to develop models for
real-time melanoma detection. To effectively discriminate benign and malign skin lesions …

Development of a clinically oriented system for melanoma diagnosis

C Barata, ME Celebi, JS Marques - Pattern Recognition, 2017 - Elsevier
Dermatologists have stated their preference for computer aided diagnosis (CAD) systems
that provide medical justifications for the estimated diagnosis of a skin lesion. Such systems …

Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults

L Ferrante di Ruffano, Y Takwoingi… - Cochrane Database …, 1996 - cochranelibrary.com
Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …

[HTML][HTML] Colored texture analysis fuzzy entropy methods with a dermoscopic application

M Hilal, AS Gaudêncio, PG Vaz, J Cardoso… - Entropy, 2022 - mdpi.com
Texture analysis is a subject of intensive focus in research due to its significant role in the
field of image processing. However, few studies focus on colored texture analysis and even …

Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines

HD Lee, AI Mendes, N Spolaor, JT Oliva… - Knowledge-Based …, 2018 - Elsevier
Early diagnosis is still the most important factor to deal with skin cancer, a disease that
challenges physicians and researchers. It has benefited from computer-aided diagnosis …

Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey

L Talavera-Martinez, P Bibiloni… - Computer methods and …, 2019 - Elsevier
Computer-extracted texture features are relevant to diagnose cutaneous lesions such as
melanomas. Our goal is to set a relationship between a well-established descriptive …