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Image of IMPLEMENTASI ARSITEKTUR VISION TRANSFORMER DENGAN TEKNIK SHIFTED PATCH PADA KLASIFIKASI PENYAKIT KANKER SERVIKS

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IMPLEMENTASI ARSITEKTUR VISION TRANSFORMER DENGAN TEKNIK SHIFTED PATCH PADA KLASIFIKASI PENYAKIT KANKER SERVIKS

Irsyad, Muhammad Syariful - Personal Name;

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Cervical cancer is a type of cancer that attacks the cells in the cervix in women which can cause death. Pap smear is a medical method to detect cervical cells affected by cancer. Therefore, this study conducted a classification on cervical cancer. One method for classifying is Vision Transformer (ViT). The advantage of ViT is that it uses little memory but can get very good results in performing classification tasks. The ViT architecture has a patching technique that characterizes the classification process. One of the patching techniques is the shifted patch. This study implements the ViT architecture implementation with the shifted patch technique in the classification of cervical cancer. The cervical cell image data itself consists of 5 labels. The research stage begins with collecting data, pre-processing data, training¸ testing and performance evaluation. The study found the average value of the performance evaluation results of accuracy, sensitivity, specificity, F1-score, and Cohen's kappa are 97.80%, 94.78%, 98.62%, 94.69%, and 93,30%. The value of the proposed work evaluation also shows good results when compared to previous studies that discuss cervical cancer. Based on the results obtained, the Vision Transformer architecture with the shifted patch technique can perform image classification on cervical cancer well.


Availability
Inventory Code Barcode Call Number Location Status
2207004164T78736T787362022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T787362022
Publisher
Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2022
Collation
xii, 67 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
519.507
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Matematika
Matematika Statistikal
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • IMPLEMENTASI ARSITEKTUR VISION TRANSFORMER DENGAN TEKNIK SHIFTED PATCH PADA KLASIFIKASI PENYAKIT KANKER SERVIKS
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