Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery

Author:

Packiamary M.1,Muthukumaravel A.1

Affiliation:

1. Bharath Institute of Higher Education and Research, India

Abstract

A crucial component of melanoma prediction via picture mastery is visual attentiveness. Changes in moles and skin lesions are often used to visually identify melanoma, a dangerous type of skin cancer. However, melanoma detection properly requires a sharp eye and a thorough comprehension of visual clues. Through proficiency in analyzing pictures of skin lesions, medical practitioners may improve their capacity to identify melanoma and take early action. Using artificial intelligence algorithms and cutting-edge imaging technology is a clever strategy for melanoma prediction. With the use of these techniques, one may examine enormous collections of photos of skin lesions to find trends and traits that point to melanoma. Healthcare professionals may increase the predicted accuracy of these algorithms and provide patients at risk of melanoma with more prompt therapies by continually training and improving them. Healthcare personnel need to continue their education and training in order to practice appropriate visual vigilance, in addition to technology improvements. Clinicians may improve their capacity to identify subtle symptoms of melanoma and make well-informed choices regarding patient treatment by remaining up to speed on the latest research and best practices in the field. In summary, visual vigilance is critical in the prediction of melanoma, and the ability to interpret skin lesion pictures correctly is critical for prompt diagnosis and treatment. Healthcare practitioners may enhance the prognosis of patients at risk of melanoma by implementing a strategic strategy that integrates cutting-edge imaging technology, artificial intelligence, and continuous education.

Publisher

IGI Global

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3