Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature
H Mirzaalian, TK Lee… - 2012 IEEE Workshop on …, 2012 - ieeexplore.ieee.org
Malignant melanoma (MM) is one of the most frequent types of cancers among the world's
white population. Dermoscopy is a noninvasive method for early recognition of MM by which …
white population. Dermoscopy is a noninvasive method for early recognition of MM by which …
Review on automatic early skin cancer detection
AN Hoshyar, A Al-Jumaily… - … Conference on Computer …, 2011 - ieeexplore.ieee.org
Skin cancer is increasing in different countries especially in Australia. Early detection of skin
cancer can treat melanoma successfully, therefore, curability and survival depends directly …
cancer can treat melanoma successfully, therefore, curability and survival depends directly …
SDI+: A novel algorithm for segmenting dermoscopic images
MR Guarracino, L Maddalena - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Malignant skin lesions are among the most common types of cancer, and automated
systems for their early detection are of fundamental importance. We propose SDI+, an …
systems for their early detection are of fundamental importance. We propose SDI+, an …
Early melanoma diagnosis with mobile imaging
We research a mobile imaging system for early diagnosis of melanoma. Different from
previous work, we focus on smartphone-captured images, and propose a detection system …
previous work, we focus on smartphone-captured images, and propose a detection system …
Partial order label decomposition approaches for melanoma diagnosis
Melanoma is a type of cancer that develops from the pigment-containing cells known as
melanocytes. Usually occurring on the skin, early detection and diagnosis is strongly related …
melanocytes. Usually occurring on the skin, early detection and diagnosis is strongly related …
Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier
L Ballerini, RB Fisher, B Aldridge… - 2012 9th IEEE …, 2012 - ieeexplore.ieee.org
This paper presents an algorithm for classification of non-melanoma skin lesions based on a
novel hierarchical K-Nearest Neighbors (K-NN) classifier. The K-NN classifier is simple …
novel hierarchical K-Nearest Neighbors (K-NN) classifier. The K-NN classifier is simple …
Features for melanoma lesions characterization in computer vision systems
Computer vision systems are increasingly used for the early detection of skin diseases, such
as malignant melanoma. The various proposals of computer vision systems are …
as malignant melanoma. The various proposals of computer vision systems are …
Generative adversarial neural networks for pigmented and non-pigmented skin lesions detection in clinical images
A Udrea, GD Mitra - … on control systems and computer science …, 2017 - ieeexplore.ieee.org
Skin cancer is one of the most common malignancies in fair skin population. It can be
divided in two main classes: melanoma and non-melanoma skin cancer. This means that …
divided in two main classes: melanoma and non-melanoma skin cancer. This means that …
Extreme learning machine for melanoma classification
S Al-Hammouri, M Fora, M Ibbini - 2021 IEEE Jordan …, 2021 - ieeexplore.ieee.org
Melanoma is considered the most dangerous type of skin cancer worldwide. Early detection
of this cancer type plays an important role in the treatment process. Many invasive methods …
of this cancer type plays an important role in the treatment process. Many invasive methods …
Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion
H El-khatib, AM Ștefan, D Popescu - Applied Sciences, 2023 - mdpi.com
The incidence of melanoma cases continues to rise, underscoring the critical need for early
detection and treatment. Recent studies highlight the significance of deep learning in …
detection and treatment. Recent studies highlight the significance of deep learning in …