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Title: :  Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN
PaperId: :  21853
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-21853
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
Dr. K Sundeep KumarS.E.A. College of Engineering & Technology

Abstract

Computer Science
Diabetic Foot Ulcer, FNN, PSO
The manual identification of detected things from the given data which is very time consuming. We propose an approach which uses neural network to identify the defects in the apple. Diabetic Foot Ulcer classification is a difficult challenge due to the numerous types of Diabetic Foot Ulcers. In order to recognize Diabetic Foot Ulcers more accurately, we proposed a hybrid classification method based on fitness-scaled chaotic artificial bee colony (FSCABC) algorithm and feedforward neural network (FNN). First, Diabetic Foot Ulcers images were acquired by a digital camera, and then the background of each image were removed by split-and-merge algorithm. We used a square window to capture the Diabetic Foot Ulcers, and download the square images to 256 256. Second, the color histogram, texture and shape features of each Diabetic Foot Ulcer image were extracted to compose a feature space. Third, principal component analysis was used to reduce the dimensions of the feature space. Finally, the reduced features were sent to the FNN, the weights/biases of which were trained by the FSCABC algorithm. We also used a stratified K-fold cross validation technique to enhance the generation ability of FNN. The experimental results of the 1653 color Diabetic Foot Ulcer images from the 18 categories demonstrated that the FSCABC–FNN achieved a classification accuracy of 89.1%. The classification accuracy was higher than Genetic Algorithm–FNN (GA–FNN) with 84.8%, Particle Swarm Optimization–FNN (PSO–FNN) with 87.9%, ABC–FNN with 85.4%, and kernel support vector machine with 88.2%. Therefore, the FSCABC–FNN was seen to be effective in classifying Diabetic Foot Ulcers.

Citations

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IJARIIE Prakash R V, and Dr. K Sundeep Kumar. "Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 2198-2206
MLA Prakash R V, and Dr. K Sundeep Kumar. "Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 2198-2206.
APA Prakash R V, & Dr. K Sundeep Kumar. (2023). Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 2198-2206.
Chicago Prakash R V, and Dr. K Sundeep Kumar. "Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 2198-2206.
Oxford Prakash R V, and Dr. K Sundeep Kumar. 'Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 2198-2206. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Diabetic_Foot_Ulcer_Measurement_of_Wound_Model_Shapes_in_clinical_setting_Using_NN_ijariie21853.pdf (Accessed : ).
Harvard Prakash R V, and Dr. K Sundeep Kumar. (2023) 'Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 2198-2206IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Diabetic_Foot_Ulcer_Measurement_of_Wound_Model_Shapes_in_clinical_setting_Using_NN_ijariie21853.pdf (Accessed : )
IEEE Prakash R V, and Dr. K Sundeep Kumar, "Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 2198-2206, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Diabetic_Foot_Ulcer_Measurement_of_Wound_Model_Shapes_in_clinical_setting_Using_NN_ijariie21853.pdf [Accessed : ].
Turabian Prakash R V, and Dr. K Sundeep Kumar. "Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver Prakash R V, and Dr. K Sundeep Kumar. Diabetic Foot Ulcer Measurement of Wound Model Shapes in clinical setting Using NN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 2198-2206. Available from: https://ijariie.com/AdminUploadPdf/Diabetic_Foot_Ulcer_Measurement_of_Wound_Model_Shapes_in_clinical_setting_Using_NN_ijariie21853.pdf
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