التفاصيل البيبلوغرافية
العنوان: |
Investigation of the usefulness of a bile duct biopsy and bile cytology using a hyperspectral camera and machine learning. |
المؤلفون: |
Norose, Tomoko, Ohike, Nobuyuki, Nakaya, Daiki, Kamiya, Kentaro, Sugiura, Yoshiya, Takatsuki, Misato, Koizumi, Hirotaka, Okawa, Chie, Ohya, Aya, Sasaki, Miyu, Aoki, Ruka, Nakahara, Kazunari, Kobayashi, Shinjiro, Tateishi, Keisuke, Koike, Junki |
المصدر: |
Pathology International; Jun2024, Vol. 74 Issue 6, p337-345, 9p |
مصطلحات موضوعية: |
BILE ducts, MACHINE learning, CYTOLOGY, CHOLANGIOCARCINOMA, ARTIFICIAL intelligence, BRUISES |
مستخلص: |
To improve the efficiency of pathological diagnoses, the development of automatic pathological diagnostic systems using artificial intelligence (AI) is progressing; however, problems include the low interpretability of AI technology and the need for large amounts of data. We herein report the usefulness of a general‐purpose method that combines a hyperspectral camera with machine learning. As a result of analyzing bile duct biopsy and bile cytology specimens, which are especially difficult to determine as benign or malignant, using multiple machine learning models, both were able to identify benign or malignant cells with an accuracy rate of more than 80% (93.3% for bile duct biopsy specimens and 83.2% for bile cytology specimens). This method has the potential to contribute to the diagnosis and treatment of bile duct cancer and is expected to be widely applied and utilized in general pathological diagnoses. [ABSTRACT FROM AUTHOR] |
|
Copyright of Pathology International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |