Detection of skin cancer using SVM, random forest and kNN classifiers

A Murugan, SAH Nair, KPS Kumar - Journal of medical systems, 2019 - Springer
Most common and deadly type of cancer is Skin cancer. The destructive kind of cancers in
skin is Melanoma as well as it can be identified at the initial stage and can be cured …

Multimodal skin lesion classification using deep learning

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 …

[图书][B] Dermoscopy image analysis

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 …

NURBS functional network approach for automatic image segmentation of macroscopic medical images in melanoma detection

A Gálvez, A Iglesias, I Fister, I Fister Jr, C Otero… - Journal of computational …, 2021 - Elsevier
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 …

Detecting the pigment network in dermoscopy images: a directional approach

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 …

Modeling the dermoscopic structure pigment network using a clinically inspired feature set

M Sadeghi, M Razmara, P Wighton, TK Lee… - Medical Imaging and …, 2010 - Springer
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 …

A robust method for skin cancer diagnosis based on interval analysis

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 …

Towards prevention and early diagnosis of skin cancer: computer-aided analysis of dermoscopy images

M Sadeghi - 2012 - summit.sfu.ca
Melanoma, the deadliest form of skin cancer, must be diagnosed early for effective
treatment. Irregular pigment network and streaks are important clues for melanoma …

Evaluating sampling strategies of dermoscopic interest points

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 …

Pigment network detection and analysis

M Sadeghi, P Wighton, TK Lee, D McLean… - … Vision Techniques for …, 2014 - Springer
We describe the importance of identifying pigment networks in lesions which may be
melanomas, and survey methods for identifying pigment networks (PN) in dermoscopic …