Hybrid Vision Transformer for Classification of Pancreatic Cystic Lesions on Confocal Laser Endomicroscopy Videos

Clara Lavita Angelina, Yi Kai Chou, Tsung Chun Lee, Pradermchai Kongkam, Ming Lun Han, Hsiu Po Wang, Hsuan Ting Chang

研究成果: 書貢獻/報告類型會議貢獻

摘要

The early detection of pancreatic cystic lesions plays a significant role in the survival chance of a patient with pancreatic cancer. Yet it is still a huge challenge. Unfortunately, most pancreatic cancers were diagnosed when the tumor was metastatic. In this study, the Hybrid Transformer, which is the combination of the VGG19 network and Vision Transformer, is utilized as a learning model to predict the pancreatic cystic symptom types in needle-based confocal laser endomicroscopy. A total of 16,944 images containing five types of pancreatic cystic are collected as the training and validation data. Our method can automatically classify the feature type of pancreatic cystic in the test videos and record the prediction results frame by frame. In our experiment, the proposed method successfully identifies the symptom types of 13 from 18 test videos and achieves an accuracy as high as 72%.
原文英語
主出版物標題2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面47-48
頁數2
ISBN(電子)9798350324174
DOIs
出版狀態已發佈 - 2023
事件2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, 臺灣
持續時間: 7月 17 20237月 19 2023

出版系列

名字2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

會議

會議2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
國家/地區臺灣
城市Pingtung
期間7/17/237/19/23

ASJC Scopus subject areas

  • 人工智慧
  • 人機介面
  • 資訊系統
  • 資訊系統與管理
  • 電氣與電子工程
  • 媒體技術
  • 儀器

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