[HTML][HTML] A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

TJ Brinker, A Hekler, AH Enk, J Klode… - European Journal of …, 2019 - Elsevier
… by using CNN trained on the same kind of images as a training set that would … on dermoscopic
images exclusively but tested its performance on classifying suspect lesions as melanoma

Diagnosing of dermoscopic images using machine learning approaches for melanoma detection

A Salam, F Ullah, M Imad… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
… In this section, a method is provided to efficiently classify the pigmented skin lesions with
benign image. Fig. 6, outlines the path taken and the following steps are included: • Feature …

[PDF][PDF] Artificial intelligence algorithm with SVM classification using dermascopic images for melanoma diagnosis

V Balasubramaniam - Journal of Artificial Intelligence and …, 2021 - scholar.archive.org
… ensemble, used for analyzing dermoscopic images of pigmented skin lesions for … dermoscopic
images that are archived are compared for assessment and identification of melanoma

[HTML][HTML] Dermoscopic image classification using CNN with Handcrafted features

KSR Sekhar, TR Babu, G Prathibha, K Vijay… - Journal of king Saud …, 2021 - Elsevier
… system to classify skin lesions using dermoscopic images. The dermoscopic images are
acquired … In this work Melanoma identification, along with classification of skin lesions are done …

A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data

ARA Ali, TM Deserno - Medical Imaging 2012: Image …, 2012 - spiedigitallibrary.org
… to the lack of dermatoscopic image resources (… dermatoscopic images into a unified database
that serves as a standard reference for dermatology related research in PSL classification

An overview of melanoma detection in dermoscopy images using image processing and machine learning

NK Mishra, ME Celebi - arXiv preprint arXiv:1601.07843, 2016 - arxiv.org
… allow not only earlier detection of melanoma, but also reduction of … detection of melanoma
in dermoscopy images. First, we … Finally, we discuss the classification stage where machine …

Feature extraction from dermoscopy images for melanoma diagnosis

S Majumder, MA Ullah - SN Applied Sciences, 2019 - Springer
… Korjakowska [25] extracted shape, color, and texture features and proposed a feature
selection algorithm to classify micro-malignant melanoma with a diameter under 5 mm in their …

An efficient machine learning approach for the detection of melanoma using dermoscopic images

Z Waheed, A Waheed, M Zafar… - … , computing and digital …, 2017 - ieeexplore.ieee.org
… In second step, extracted features are fed to the classifier to classify melanoma out of
dermoscopic images. Paper also focuses on the role of color and texture features in the context of …

Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images

A Sáez, J Sánchez-Monedero… - … on medical imaging, 2015 - ieeexplore.ieee.org
… thickness of melanoma before surgery, we propose a computational image analysis system
from dermoscopic images. … present in dermoscopic images and tumor depth. Two supervised …

[PDF][PDF] A cnn framework for classification of melanoma and benign lesions on dermatoscopic skin images

E Özbay, FA Özbay - International Journal of Advanced Networking …, 2021 - academia.edu
… and melanoma was classified. The efficacy of this study was confirmed by biopsy of
dermatoscopic images … In many proposed studies, deep learning, which does not require an …