Overview of advanced computer vision systems for skin lesions characterization
I Maglogiannis, CN Doukas - IEEE transactions on information …, 2009 - ieeexplore.ieee.org
During the last years, computer-vision-based diagnosis systems have been used in several
hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and …
hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and …
Melanoma detection and classification using computerized analysis of dermoscopic systems: a review
Malignant melanoma is considered as one of the most deadly cancers, which has broadly
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …
PDE-based unsupervised repair of hair-occluded information in dermoscopy images of melanoma
FY Xie, SY Qin, ZG Jiang, RS Meng - Computerized Medical Imaging and …, 2009 - Elsevier
The repair of hair-occluded information is one of the key problems for the precise
segmentation and analysis of the skin malignant melanoma image with hairs. Aimed at …
segmentation and analysis of the skin malignant melanoma image with hairs. Aimed at …
Análise e classificação de imagens de lesões da pele por atributos de cor, forma e textura utilizando máquina de vetor de suporte
HB Soares - 2008 - bdtd.ibict.br
The skin cancer is the most common of all cancers and the increase of its incidence must, in
part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil …
part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil …
Flow-guided hair removal for automated skin lesion identification
In this paper, we propose a method for removing hairs automatically from skin lesion
images. To achieve this, we employ an edge-detection technique based on edge-tangent …
images. To achieve this, we employ an edge-detection technique based on edge-tangent …
Dermoscopy image segmentation using a modified level set algorithm
M Nourmohamadi… - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
Border segmentation serves as the first step in the automated analysis of dermoscopy
images for the purpose of diagnosing melanoma and other pigmented skin lesions …
images for the purpose of diagnosing melanoma and other pigmented skin lesions …
A Model for Detecting Structural Elements–Lines–in Digital Images in Oncodermatology
VG Nikitaev, AN Pronichev, OB Tamrazova… - Measurement …, 2021 - Springer
The problem of early diagnosis of one of the most dangerous malignant neoplasms of the
skin, melanoma, is considered. A model for detecting structural elements (lines) in digital …
skin, melanoma, is considered. A model for detecting structural elements (lines) in digital …
A review on state-of-the-art computer-based approaches for the early recognition of malignant melanoma
G Kontogianni, I Maglogiannis - Advanced Computational Intelligence in …, 2020 - Springer
Cancer is a complex and intricate disease, and the scientific community has been struggling
for decades to identify any feebleness or rudimentary characteristics to discover effective …
for decades to identify any feebleness or rudimentary characteristics to discover effective …
ISAR-Image recognition using optimized HONN by a Metaheuristic algorithm
A Elyounsi, H Tlijani, MS Bouhlel - 2022 IEEE 9th International …, 2022 - ieeexplore.ieee.org
In the field of ISAR Data extraction, many drawbacks appear and make this field a very
challenging one. Therefore, using higher order neural networks (HONN) became an useful …
challenging one. Therefore, using higher order neural networks (HONN) became an useful …