Detection of deep lesion in resected stomach by near-infrared hyperspectral imaging

Toshihiro Takamatsu; Ryodai Fukushima; Hideo Yokota; Hiroaki Ikematsu; Kohei Soga; Hiroshi Takemura

doi:10.1117/12.3006359

3 April 2024 Detection of deep lesion in resected stomach by near-infrared hyperspectral imaging

Toshihiro Takamatsu, Ryodai Fukushima, Hideo Yokota, Hiroaki Ikematsu, Kohei Soga, Hiroshi Takemura

Author Affiliations +

Proceedings Volume 12927, Medical Imaging 2024: Computer-Aided Diagnosis; 129271R (2024) https://doi.org/10.1117/12.3006359
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Near-infrared hyperspectral imaging (NIR-HSI) is well known that it enables chemical composition analysis with high bio-transparency and high spatial resolution. Thus, hyperspectral imaging is potential in noninvasive and label-free diagnosis of deep lesion by machine learning. In this study, detection of deep lesions such as Gastrointestinal Stromal Tumor (GIST) and Gastric Cancer (GC) including unexposed areas was investigated using NIR-HSI. As the result, although GIST specimens had a normal mucosal layer covering the lesion, NIR-HSI analysis by machine learning showed an average prediction accuracy of 86.1%. In case of GC specimens, average prediction accuracy of GC regions in all area, exposed area and unexposed area were 79.9%, 80.9% and 77.8%, respectively.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Toshihiro Takamatsu, Ryodai Fukushima, Hideo Yokota, Hiroaki Ikematsu, Kohei Soga, and Hiroshi Takemura "Detection of deep lesion in resected stomach by near-infrared hyperspectral imaging", Proc. SPIE 12927, Medical Imaging 2024: Computer-Aided Diagnosis, 129271R (3 April 2024); https://doi.org/10.1117/12.3006359

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE