A Machine Learning-Driven Surface-Enhanced Raman Scattering Analysis Platform for the Label-Free Detection and Identification of Gastric Lesions.

Journal: International journal of nanomedicine
Published Date: Sep 10, 2024

Abstract

BACKGROUND: Gastric lesions pose significant clinical challenges due to their varying degrees of malignancy and difficulty in early diagnosis. Early and accurate detection of these lesions is crucial for effective treatment and improved patient outcomes.

Authors

  • Fengsong Chen
    Department of Gastroenterology, Haimen People's Hospital, Nantong, 226000, People's Republic of China.
  • Yanhua Huang
    Department of Gastroenterology, Haimen People's Hospital, Nantong, 226000, People's Republic of China.
  • Yayun Qian
    Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, People's Republic of China.
  • Ya Zhao
    School of Acupuncture-moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.
  • Chiwen Bu
    Institute of Surgery, Guanyun People's Hospital, Guanyun, 222200, People's Republic of China.
  • Dong Zhang
    Institute of Acoustics, Nanjing University, Nanjing 210093, China.

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