Classification of dermatologic manifestations of cardiovascular disease using efficientnetV2 CNN model
Joint Authors
Evwiekpaefe, Abraham E.
Amrevuawho, Oghenegueke F.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 23, Issue 1 (31 Mar. 2023), pp.115-127, 13 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2023-03-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The skin is one of the organs of the human body where various internal health problems including cardiovascular diseases tend to show some notable signs and symptoms.
the dermatologist may be one of the first clinician to recognize that someone does have cardiovascular disease because warning signs can develop on the skin.
the aim of this research is to use the efficientNetV2 model for the classification of dermatologic manifestations of cardiovascular disease based on transfer learning.
the efficientNetV2 model was modified and trained as a classifier for the selected images of dermatologic manifestations of cardiovascular disease.
a total of 2665 images consisting of 430 for cyanosis, 480 for Liverdo reticularis, 780 for Xanthoma, 430 for stasis dermatitis, 540 for fingernails clubbing, and other 1100 images of both normal skin and general objects were used in the training of the model.
data augmentation was also used to increase the amount of training images and finetuning was employed on the model.
google collaboratory was used as the platform to train the model.
the trained model with fine-tuning was able to obtain a considerable accuracy of 96.04%.
the efficientNetV2 convolutional neural network (CNN) model performed exceptionally well in the image classification.
American Psychological Association (APA)
Evwiekpaefe, Abraham E.& Amrevuawho, Oghenegueke F.. 2023. Classification of dermatologic manifestations of cardiovascular disease using efficientnetV2 CNN model. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 1, pp.115-127.
https://search.emarefa.net/detail/BIM-1460756
Modern Language Association (MLA)
Evwiekpaefe, Abraham E.& Amrevuawho, Oghenegueke F.. Classification of dermatologic manifestations of cardiovascular disease using efficientnetV2 CNN model. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 1 (Mar. 2023), pp.115-127.
https://search.emarefa.net/detail/BIM-1460756
American Medical Association (AMA)
Evwiekpaefe, Abraham E.& Amrevuawho, Oghenegueke F.. Classification of dermatologic manifestations of cardiovascular disease using efficientnetV2 CNN model. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 1, pp.115-127.
https://search.emarefa.net/detail/BIM-1460756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 126-127
Record ID
BIM-1460756