Gastrointestinal tract disease detection via deep learning based structural and statistical features optimized hexa-classification model.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date: Jan 1, 2024

Abstract

BACKGROUND: Gastrointestinal tract (GIT) diseases impact the entire digestive system, spanning from the mouth to the anus. Wireless Capsule Endoscopy (WCE) stands out as an effective analytic instrument for Gastrointestinal tract diseases. Nevertheless, accurately identifying various lesion features, such as irregular sizes, shapes, colors, and textures, remains challenging in this field.

Authors

  • Ajitha Gladis K P
    Department of Information Technology, CSI Institute of Technology, Thovalai, India.
  • Roja Ramani D
    Department of Computer Science and Engineering, New Horizon College of Engineering, Bengaluru, India.
  • Mohana Suganthi N
    Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
  • Linu Babu P
    Department of Electronics and Communication Engineering, IES College of Engineering, Thrissur, India.

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