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22 results on '"Hiramatsu, Keizo"'

2. An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions

Author

Ito, Yu, primary, Miyoshi, Ai, additional, Ueda, Yutaka, additional, Tanaka, Yusuke, additional, Nakae, Ruriko, additional, Morimoto, Akiko, additional, Shiomi, Mayu, additional, Enomoto, Takayuki, additional, Sekine, Masayuki, additional, Sasagawa, Toshiyuki, additional, Yoshino, Kiyoshi, additional, Harada, Hiroshi, additional, Nakamura, Takafumi, additional, Murata, Takuya, additional, Hiramatsu, Keizo, additional, Saito, Junko, additional, Yagi, Junko, additional, Tanaka, Yoshiaki, additional, and Kimura, Tadashi, additional

Published
2021
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15. Immunohistochemical Demonstration of Tumor Antigen TA4 in Gynecologic Tumors

Author

Ueda, Gaiko, Inoue, Yoshinosuke, Yamasaki, Masato, Inoue, Masaki, Tanaka, Yoshiaki, Hiramatsu, Keizo, Saito, Junko, Nishino, Teruyo, and Abe, Yoshihito

Abstract

Tumor antigen TA-4, raised against human cervical squamous cell carcinoma, was studied by an immunoperoxidase method in various gynecologic tumors. TA-4 was detected invariably in normal differentiated cervical squamous cells. It was also found infrequently in normal glandular cells of the cervix, but not in the endometrium. In squamous cell carcinomas of the cervix, TA-4 was positive in the differentiated cells regardless of invasiveness or histological type. It was demonstrated in some adenocarcinomas of the cervix, and less frequently in those of the endometrium. In ovarian tumors, TA-4 was localized occasionally in a variable number of glandular tumor cells of serous, mucinous, endometrioid, and clear cell carcinomas. Only a few transitional cells contained TA-4 in a Brenner tumor. Squamous components of ovarian tumors, both benign and malignant, were frequently positive for TA-4.

Published
1984

17. Strumal carcinoid of the ovary

Author

Ueda, Gaiko, primary, Sato, Yasuko, additional, Yamasaki, Masato, additional, Inoue, Masaki, additional, Hiramatsu, Keizo, additional, Kurachi, Keiichi, additional, Amino, Nobuyuki, additional, and Miyai, Kiyoshi, additional

Published
1978
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22. An artificial intelligence-assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions.

Author

Ito Y, Miyoshi A, Ueda Y, Tanaka Y, Nakae R, Morimoto A, Shiomi M, Enomoto T, Sekine M, Sasagawa T, Yoshino K, Harada H, Nakamura T, Murata T, Hiramatsu K, Saito J, Yagi J, Tanaka Y, and Kimura T

Abstract

The present study created an artificial intelligence (AI)-automated diagnostics system for uterine cervical lesions and assessed the performance of these images for AI diagnostic imaging of pathological cervical lesions. A total of 463 colposcopic images were analyzed. The traditional colposcopy diagnoses were compared to those obtained by AI image diagnosis. Next, 100 images were presented to a panel of 32 gynecologists who independently examined each image in a blinded fashion and diagnosed them for four categories of tumors. Then, the 32 gynecologists revisited their diagnosis for each image after being informed of the AI diagnosis. The present study assessed any changes in physician diagnosis and the accuracy of AI-image-assisted diagnosis (AISD). The accuracy of AI was 57.8% for normal, 35.4% for cervical intraepithelial neoplasia (CIN)1, 40.5% for CIN2-3 and 44.2% for invasive cancer. The accuracy of gynecologist diagnoses from cervical pathological images, before knowing the AI image diagnosis, was 54.4% for CIN2-3 and 38.9% for invasive cancer. After learning of the AISD, their accuracy improved to 58.0% for CIN2-3 and 48.5% for invasive cancer. AI-assisted image diagnosis was able to improve gynecologist diagnosis accuracy significantly (P<0.01) for invasive cancer and tended to improve their accuracy for CIN2-3 (P=0.14)., Competing Interests: The present study was a cooperative research project with Kyocera Corporation., (Copyright © 2020, Spandidos Publications.)

Published
2022
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