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Automating skin disease diagnosis using image classification
Automating skin disease diagnosis using image classification Automatic diagnosis of skin cancer is feasible and achievable through the usage of well-defined segmentation and classification technique. Expand
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A Review of Prevalent Methods for Automatic Skin Lesion Diagnosis
Received: November 14, 2017 Revised: December 06, 2017 Accepted: March 27, 2018 Abstract: Background: Skin cancer has been reported to be one of the most predominant forms of cancer diseases,Expand
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CLAHE Inspired Segmentation of Dermoscopic Images Using Mixture of Methods
We have applied a combination of methods, including intensity equalization, thresholding, morphological operation and GrabCut algorithm to segment the lesion area in a dermoscopic image. Expand
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Towards automation of skin disease diagnosis using image classification.
We present a table of contents for the first chapter of the paper. Expand
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Unsupervised Restoration of Hair-Occluded Lesion in Dermoscopic Images
The presence of artefacts such as hair shaft, thin blood vessel, ruler marking and air bubble in medical images makes the diagnosis of skin-related medical images very difficult. Expand
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