Results 151 to 160 of about 5,851 (168)

Starch-iodine test viewed through a dermoscope

open access: closedJournal of the American Academy of Dermatology, 2019
Ishmeet Kaur, Deepak Jakhar
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Automatic Diagnosis of Melanoma Through the Analysis of Dermoscopic Images

2020 15th International Conference on Computer Engineering and Systems (ICCES), 2020
Malignant melanomas are the most dangerous type of skin cancer. It is fatal and hard to treat it, if is not treated or recognized early. Therefore, early diagnosis of skin cancer is essential to reduce mortality and morbidity of patients. The detection accuracy is also an important factor.
Khaled M. Amin   +2 more
openaire   +2 more sources

Dynamic clustering detection through multi‐valued descriptors of dermoscopic images

Statistics in Medicine, 2011
This paper introduces a dynamic clustering methodology based on multi‐valued descriptors of dermoscopic images. The main idea is to support medical diagnosis to decide if pigmented skin lesions belonging to an uncertain set are nearer to malignant melanoma or to benign nevi.
Lucia Maddalena   +3 more
openaire   +6 more sources

Recognition of skin melanoma through dermoscopic image analysis

13th International Conference on Medical Information Processing and Analysis, 2017
Melanoma skin cancer diagnosis can be challenging due to the similarities of the early stage symptoms with regular moles. Standardized visual parameters can be determined and characterized to suspect a melanoma cancer type. The automation of this diagnosis could have an impact in the medical field by providing a tool to support the specialists with ...
Catalina Gómez, Diana Sofia Herrera
openaire   +2 more sources

Fast Characteristic of Skin Lesions by Machine-Learning of Raman Spectrum

, 2021
Background: The traditional diagnosis of skin lesions mainly relies on dermoscope and pathological biopsy, of which the former is non-objective and the latter is invasive and time-consuming.
Hua Zhang   +6 more
semanticscholar   +1 more source

Image Pattern Analysis towards Classification of Skin Cancer through Dermoscopic Images

2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020
Malignant melanoma is one of the most dangerous forms of skin cancer. Death rates are quite high because of their proliferation ability to other body parts. Melanoma can be cured with early and correct diagnosis therefore there is a significant requirement of a system that can correctly differentiate benign and melanoma lesions.
Muhammad Umar Khan   +4 more
openaire   +2 more sources

Precision Of Dermoscopy In Melasma Over Wood’s Lamp Examination

, 2021
INTRODUCTION- Melasma is a hyper pigmentary disorder resulting in areas of  pigmentation with irregular outline depending on the level of melanin deposition in skin.
N. Patel
semanticscholar   +1 more source

Dermoscopic Image Segmentation Through the Enhanced High-Level Parsing and Class Weighted Loss

2019 IEEE International Conference on Image Processing (ICIP), 2019
Accurate skin lesion segmentation plays an important role in the computer aided analysis of melanoma. It is a challenging task due to the variation of skin lesion appearance, the low contrast with background, and the existence of the artifacts in dermoscopic images.
Henghui Ding   +2 more
openaire   +2 more sources

Towards Skin Cancer Detection Through Low Resolution Images.

Studies in Health Technology and Informatics
Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin conditions, and Machine Learning (ML) models can help with this tedious task.
Jenny Vega, Asra Aslam
semanticscholar   +1 more source

Difficulties in the diagnosis of sporadic multiple trichoepitheliomas.

, 2018
Multiple trichoepitheliomas can present some diagnostic difficulties both from a clinical and histological point of view. From a clinical point of view the differential diagnosis in the child should be made with molluscum contagiosum, flat warts ...
E. Bonifazi
semanticscholar   +1 more source

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