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Title: :  Implementation Diabetic Foot Ulcer Types Detection using Neural Networks
PaperId: :  21712
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21712
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prakash R VS.E.A. College of Engineering & Technology, Bangalore
Dr. K Sundeep KumarS.E.A. College of Engineering & Technology, Bangalore

Abstract

Computer Science
Diabetic foot Ulcer, K-means clustering and Neural Networks, RGB, HIS, etc
Diabetic Foot Ulcer Infection is one of the essential causes that reduces quantity and degrades quality of the Medical Diagnosis merchandises. Diabetic Foot Ulcer Infections have turned into a terrible as it can cause significant reduction in both quality and quantity of Medical Diagnosis products. Images form important data and information in biological sciences. Until recently photography was the only method to reproduce and report such data. It is difficult to quantify or treat the photographic data mathematically. This project, classifies the Diabetic Foot Ulcer at hand into infected and non-infected classes. The developing software provides a fast and accurate method in which the Diabetic foot Ulcer Infections are detected and classified using k-means based segmentation and neural networks-based classification. Most common Infections seen in the foot of Tapioca and Mango are discussed here for this approach. In this paper, respectively, the applications of K-means clustering and Neural Networks (NNs) have been formulated for clustering and classification of Infections that effect on Diabetic Foot Ulcer foot. Recognizing the Infection is mainly the purpose of the proposed approach. Thus, the proposed Algorithm was tested on three types of diabetic foot ulcer described namely neuropathic, neuroischaemic, and ischaemic. The experimental results indicate that the proposed approach is a valuable approach, which can significantly support an accurate detection of Diabetic foot Ulcer Infections in a little computational effort. This project gives 95% of efficiency using MATLAB simulation results.

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IJARIIE Prakash R V, and Dr. K Sundeep Kumar. "Implementation Diabetic Foot Ulcer Types Detection using Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1165-1172
MLA Prakash R V, and Dr. K Sundeep Kumar. "Implementation Diabetic Foot Ulcer Types Detection using Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1165-1172.
APA Prakash R V, & Dr. K Sundeep Kumar. (2023). Implementation Diabetic Foot Ulcer Types Detection using Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1165-1172.
Chicago Prakash R V, and Dr. K Sundeep Kumar. "Implementation Diabetic Foot Ulcer Types Detection using Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1165-1172.
Oxford Prakash R V, and Dr. K Sundeep Kumar. 'Implementation Diabetic Foot Ulcer Types Detection using Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1165-1172. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Implementation_Diabetic_Foot_Ulcer_Types_Detection_using_Neural_Networks_ijariie21712.pdf (Accessed : ).
Harvard Prakash R V, and Dr. K Sundeep Kumar. (2023) 'Implementation Diabetic Foot Ulcer Types Detection using Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1165-1172IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Implementation_Diabetic_Foot_Ulcer_Types_Detection_using_Neural_Networks_ijariie21712.pdf (Accessed : )
IEEE Prakash R V, and Dr. K Sundeep Kumar, "Implementation Diabetic Foot Ulcer Types Detection using Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1165-1172, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Implementation_Diabetic_Foot_Ulcer_Types_Detection_using_Neural_Networks_ijariie21712.pdf [Accessed : ].
Turabian Prakash R V, and Dr. K Sundeep Kumar. "Implementation Diabetic Foot Ulcer Types Detection using Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver Prakash R V, and Dr. K Sundeep Kumar. Implementation Diabetic Foot Ulcer Types Detection using Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1165-1172. Available from: https://ijariie.com/AdminUploadPdf/Implementation_Diabetic_Foot_Ulcer_Types_Detection_using_Neural_Networks_ijariie21712.pdf
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