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Segmentation and Classification for Hyperspectral Imaging of Foot Inspection in Vascular and Neuro Images

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Segmentation and Classification for Hyperspectral Imaging of Foot Inspection in Vascular and Neuro Images


Dr. C. Yesubai Rubhavathi | Diofrin. J | Eben Paul Richard. S | Arunachalam. R | Vishnu Durga. S



Dr. C. Yesubai Rubhavathi | Diofrin. J | Eben Paul Richard. S | Arunachalam. R | Vishnu Durga. S "Segmentation and Classification for Hyperspectral Imaging of Foot Inspection in Vascular and Neuro Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1, February 2023, pp.1114-1122, URL: https://www.ijtsrd.com/papers/ijtsrd52793.pdf

Diabetes Mellitus (DM) and Diabetic Neuropathy (DN) are the most common diseases in the worldwide, according to the World Health Organization (WHO). A high index of death is also correlated with it. Diabetic neuropathy is a significant worldwide cause of neuropathy which can lead to amputations and disabilities. Diabetic neuropathy can have multiple clinical manifestations, the most common presentation being distal symmetric polyneuropathy and the key mechanism for diabetic foot development. One of the major problems is diabetic foot, which includes the creation of plantar foot hyper spectral which may result in amputation. Several studies report that hyperspectral is helpful in identifying differences in plantar temperature, which may lead to a higher risk of ulceration. However, in diabetic patients, the distribution of plantar temperature does not follow a standard sequence, thereby making it impossible to quantify the changes. There is also an importance in enhancing the performance of the methods of analysis and classification that help to diagnose abnormal variations in the temperature of the plantar. All this refers to the use of computer-aided programmes that work with extremely structured data structures, such as those involved in artificial intelligence (AI). This study combines approaches based on machine learning with Deep Learning (DL) structures. Furthermore, we developed a new DL-structure, which is qualified and is able to achieve higher significance in terms of precision and other quality metrics. The key purpose of this study is to examine the use of AI and DL for the classification of hyperspectral images of the diabetic foot, demonstrating its advantages and disadvantages. To the best of our understanding, this is the first suggestion for the definition of diabetic foot hyperspectral implemented by DL networks. The studies are carried out in DM and control groups through hyperspectral images. Afterwards, based on a pre-reported hyperspectral shift index, a multi-level classification is done. The high precision attained illustrates the utility of AI and DL as auxiliary instruments to help in medical diagnosis. The aim of this study was to perform a systematic and updated analysis of diabetic neuropathy, concentrating on its classification, diagnostic research and treatment.

Machine Learning, Support vector machine (SVM), K-nearest Neighbors (KNN), Decision Tree Algorithm


IJTSRD52793
Volume-7 | Issue-1, February 2023
1114-1122
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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