PH2 - A dermoscopic image database for research and benchmarking

T Mendonça, PM Ferreira, JS Marques… - 2013 35th annual …, 2013 - ieeexplore.ieee.org
The increasing incidence of melanoma has recently promoted the development of computer-
aided diagnosis systems for the classification of dermoscopic images. Unfortunately, the …

Automating the ABCD rule for melanoma detection: a survey

ARH Ali, J Li, G Yang - IEEE Access, 2020 - ieeexplore.ieee.org
The ABCD rule is a simple framework that physicians, novice dermatologists and non-
physicians can use to learn about the features of melanoma in its early curable stage …

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 …

DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework

N Veeramani, P Jayaraman, R Krishankumar… - Scientific Reports, 2024 - nature.com
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …

Skin cancer detection: state of art methods and challenges

S Malik, VV Dixit - ICCCE 2021: Proceedings of the 4th International …, 2022 - Springer
Skin cancer is a major health concern worldwide affecting the life and wellbeing of people.
Melanoma is the most harmful skin cancer with the highest mortality rate. Screening and …

Kernel sparse representation based model for skin lesions segmentation and classification

N Moradi, N Mahdavi-Amiri - Computer methods and programs in …, 2019 - Elsevier
Abstract Background and Objectives Melanoma is a dangerous kind of skin disease with a
high death rate, and its prevalence has increased rapidly in recent years. Diagnosis of …

A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types …

MA Wahba, AS Ashour, Y Guo, SA Napoleon… - Computer methods and …, 2018 - Elsevier
Background and objective Melanoma is one of the major death causes while basal cell
carcinoma (BCC) is the utmost incident skin lesion type. At their early stages, medical …

2-HDCNN: a two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma

YN Jane, SK Charanya, M Amsaprabhaa… - Computers in Biology …, 2023 - Elsevier
Melanoma is a fatal form of skin cancer, which causes excess skin cell growth in the body.
The objective of this work is to develop a two-tier hybrid dual convolution neural network (2 …

Machine learning–based diagnosis of melanoma using macro images

D Gautam, M Ahmed, YK Meena… - International journal for …, 2018 - Wiley Online Library
Cancer bears a poisoning threat to human society. Melanoma, the skin cancer, originates
from skin layers and penetrates deep into subcutaneous layers. There exists an extensive …

Determination of border irregularity in dermoscopic color images of pigmented skin lesions

J Jaworek-Korjakowska… - 2014 36th annual …, 2014 - ieeexplore.ieee.org
Malignant melanoma, which is the most dangerous type of skin cancer, is commonly
diagnosed in all people, regardless of age, gender, or race. In the last several years an …