J Yap, W Yolland, P Tschandl - Experimental dermatology, 2018 - Wiley Online Library
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classification, previous studies have generally considered only a single clinical/macroscopic …
ME Celebi, T Mendonca, JS Marques - 2015 - books.google.com
Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more …
Image processing techniques are becoming standard technology in many medical specialities, such as dermatology, where they are a key tool for the early detection and …
C Barata, JS Marques, J Rozeira - 2011 Annual International …, 2011 - ieeexplore.ieee.org
Several algorithms have been recently proposed for the analysis of dermoscopy images and the detection of melanomas. However, the pigment network is not considered in most of …
We present a method to detect and classify the dermoscopic structure pigment network which may indicate early melanoma in skin lesions. We locate the network as darker areas …
H Zhang, Z Wang, L Liang… - Automatika: časopis za …, 2021 - hrcak.srce.hr
Sažetak Early diagnosis of skin cancer from dermoscopy images significantly reduces the mortality due to this cancer. However, several reasons impact the system diagnosis …
Melanoma, the deadliest form of skin cancer, must be diagnosed early for effective treatment. Irregular pigment network and streaks are important clues for melanoma …
N Situ, T Wadhawan, R Hu, K Lancaster… - … imaging: From nano …, 2011 - ieeexplore.ieee.org
Among the most critical components of a computerized system for automated melanoma detection is image sampling and pooling of the extracted features. In this paper, we propose …
We describe the importance of identifying pigment networks in lesions which may be melanomas, and survey methods for identifying pigment networks (PN) in dermoscopic …