Jurnal - Ear disease determination on computer-assisted outer and middle ear images

Kadriyan, Hamsu and Wijaya, I G P S and Yudhanto, Didit and yuliani, Eka Arie and Mulyana, H (2021) Jurnal - Ear disease determination on computer-assisted outer and middle ear images. In: 3rd International Conference in Bioscience and Biotechnology.

IOP cenferene 712 sampul -Ear Disease.pdf

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This paper proposes a method to determine the outer and middle ear disease from image files in computer data efficiently and developed the environment friendly unit. The proposed method starts its method by analyzing the accessed file. If a file is labeled as a file that needs to be classified, the proposed method collects the list of image files in the directory, then it starts to run CNN-based classification to determine the type of ear disease suffered by the patient based on the information contained in the input image. If an image file is detected as a certain outer and middle ear disease, that file will be given a label and its probability. The CNN engine work for classifying the input image captured by Endoscope Ear Cleaning Tool Kit. The classification machine was developed using 1800 images for 18 disease classes with each class having a sample of 100 to 105 sample images. The sample image was augmented from 900 patient data. The experimental result shows that the Ear Disease Determination on Computer-Assisted Outer and Middle Ear Images which is based on CNN has run properly which is indicated by 80% accuracy and potentially implemented for the rural health center facility.

Item Type: Conference or Workshop Item (Other)
Subjects: R Medicine > R Medicine (General)
Divisions: Fakultas Kedokteran
Depositing User: Hamsu Kadriyan
Date Deposited: 07 Sep 2022 03:41
Last Modified: 07 Sep 2022 03:41
URI: http://eprints.unram.ac.id/id/eprint/31551

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