Computerized analysis of pigmented skin lesions: a review

K Korotkov, R Garcia - Artificial intelligence in medicine, 2012 - Elsevier
OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …

A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data

ARA Ali, TM Deserno - Medical Imaging 2012: Image …, 2012 - spiedigitallibrary.org
Malignant melanoma is the third most frequent type of skin cancer and one of the most
malignant tumors, accounting for 79% of skin cancer deaths. Melanoma is highly curable if …

Melanoma detection by analysis of clinical images using convolutional neural network

E Nasr-Esfahani, S Samavi, N Karimi… - 2016 38th annual …, 2016 - ieeexplore.ieee.org
Melanoma, most threatening type of skin cancer, is on the rise. In this paper an
implementation of a deep-learning system on a computer server, equipped with graphic …

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) …

A hybrid neural network–world cup optimization algorithm for melanoma detection

N Razmjooy, FR Sheykhahmad, N Ghadimi - Open Medicine, 2018 - degruyter.com
One of the most dangerous cancers in humans is Melanoma. However, early detection of
melanoma can help us to cure it completely. This paper presents a new efficient method to …

Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule

R Kasmi, K Mokrani - IET Image Processing, 2016 - Wiley Online Library
The ABCD (asymmetry, border irregularity, colour and dermoscopic structure) rule of
dermoscopy is a scoring method used by dermatologists to quantify dermoscopy findings …

Computer-aided diagnosis of skin lesions using conventional digital photography: a reliability and feasibility study

WY Chang, A Huang, CY Yang, CH Lee, YC Chen… - PloS one, 2013 - journals.plos.org
Background Computer-aided diagnosis (CADx) software that provides a second opinion has
been widely used to assist physicians with various tasks. In dermatology, however, CADx …

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 …

[PDF][PDF] Automating skin disease diagnosis using image classification

DA Okuboyejo, OO Olugbara… - proceedings of the world …, 2013 - academia.edu
There have been many attempts to implement traditional telemedicine across the world
especially in the develo** countries, but the efforts has been characterized with …

Deep learning from limited training data: Novel segmentation and ensemble algorithms applied to automatic melanoma diagnosis

BA Albert - IEEE Access, 2020 - ieeexplore.ieee.org
Deep learning algorithms often require thousands of training instances to generalize well.
The presented research demonstrates a novel algorithm, Predict-Evaluate-Correct K-fold …