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Price Distribution

Price distribution over 68 days • 1 price levels

Days at Price

Price Analysis

Most common price: £53 (68 days, 100.0%)

Price range: £53 - £53

Price levels: 1 different prices over 68 days

Description

Skin cancer is the most common form of cancers in human; kills people in many parts around world. Every year, more than 68,000 diagnosed as melanoma in USA, and about 80,000 in Canada, and there are 730 states are registered in Iraqi. A physician faces many difficulties for accurate diagnose of lesion through its characteristics and by using the naked eye. For that it is necessary to develop automatic methods in order to increase the accuracy of the diagnostic. In this thesis, two main stages were implemented; the first one is the lesion segmentation while the other stage is the cancer detection. First stage is the lesion segmentation where include edge detection of lesion image based on combination of Markov and Laplace filters, followed by convert image to YUV color space and selected the U channel for processing. Second stage is the lesion diagnoses where achieved by using ABCD rules by suggestion new method for determine asymmetry based on rotation of lesion and divides lesion to two parts once horizontally and later vertically.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6204732145
Category: Books > Subjects
Domain: Amazon UK
Release Date: 31 October 2022
Listed Since: 25 November 2022

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LAP Lambert Academic Publishing Auto-Detection of Skin Cancer

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It has never been this cheap. We have no record of a lower price.

LAP Lambert Academic Publishing Auto-Detection of Skin Cancer

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Skin Cancer: Pathogenesis and Diagnosis

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Computing Irregularity for Features in Medical Images: A Case Study of Malignant Melanoma, a skin cancer

Chastnaya dermatologiya: Klinika, algoritmy differentsial'noy diagnostiki i lechenie

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Resourcing of Natural Products for the Development of Anticancer Leads

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