Tomoko Norose, Nobuyuki Ohike, Daiki Nakaya, Kentaro Kamiya, Yoshiya Sugiura, Misato Takatsuki, Hirotaka Koizumi, Chie Okawa, Aya Ohya, Miyu Sasaki, Ruka Aoki, Kazunari Nakahara, Shinjiro Kobayashi, Keisuke Tateishi, Junki Koike
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...
May 24, 2024: Pathology International