A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images

AR Ali, J Li, G Yang, SJ O'Shea - PeerJ Computer Science, 2020 - peerj.com
Skin lesion border irregularity is considered an important clinical feature for the early
diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we …

A novel fuzzy multilayer perceptron (F-MLP) for the detection of irregularity in skin lesion border using dermoscopic images

AR Ali, J Li, S Kanwal, G Yang, A Hussain… - Frontiers in …, 2020 - frontiersin.org
Skin lesion border irregularity, which represents the B feature in the ABCD rule, is
considered one of the most significant factors in melanoma diagnosis. Since signs that …

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 …

A deep learning based approach to skin lesion border extraction with a novel edge detector in dermoscopy images

AR Ali, J Li, SJ O'Shea, G Yang… - … Joint Conference on …, 2019 - ieeexplore.ieee.org
Lesion border detection is considered a crucial step in diagnosing skin cancer. However,
performing such a task automatically is challenging due to the low contrast between the …

Novel method for border irregularity assessment in dermoscopic color images

J Jaworek-Korjakowska - Computational and mathematical …, 2015 - Wiley Online Library
Background. One of the most important lesion features predicting malignancy is border
irregularity. Accurate assessment of irregular borders is clinically important due to …

Unsupervised skin lesions border detection via two-dimensional image analysis

Q Abbas, I Fondón, M Rashid - Computer methods and programs in …, 2011 - Elsevier
The skin cancer was analyzed by dermoscopy helpful for dermatologists. The classification
of melanoma and carcinoma such as basal cell, squamous cell, and merkel cell carcinomas …

Lesion border detection in dermoscopy images using dynamic programming

Q Abbas, ME Celebi, I Fondón García… - Skin Research and …, 2011 - Wiley Online Library
Background/purpose: Automated border detection is an important and challenging task in
the computerized analysis of dermoscopy images. However, dermoscopic images often …

Weighted performance index for objective evaluation of border detection methods in dermoscopy images

R Garnavi, M Aldeen, ME Celebi - Skin Research and …, 2011 - Wiley Online Library
Purpose: This paper presents a novel approach for objective evaluation of border detection
in dermoscopy images of melanoma. Background: In melanoma studies, border detection is …

Abcd rules segmentation on malignant tumor and benign skin lesion images

NFM Azmi, HM Sarkan, Y Yahya… - 2016 3rd International …, 2016 - ieeexplore.ieee.org
Skin lesion is defined as a superficial growth or patch of the skin that is visually different than
its surrounding area. Skin lesions appear for many reasons such as the symptoms indicative …

Melanoma skin cancer detection based on ABCD rule

NF Lattoofi, IF Al-Sharuee, MY Kamil… - … of Computer and …, 2019 - ieeexplore.ieee.org
Skin cancer is the most common cancers in the last years, especially in the human body; the
Melanoma is the most destructive type of skin lesions. Detect cancer is important at the initial …