Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Maki Ogura"'
Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists’ Visual Estimates
Autor:
Tomoharu Kiyuna, Eric Cosatto, Kanako C. Hatanaka, Tomoyuki Yokose, Koji Tsuta, Noriko Motoi, Keishi Makita, Ai Shimizu, Toshiya Shinohara, Akira Suzuki, Emi Takakuwa, Yasunari Takakuwa, Takahiro Tsuji, Mitsuhiro Tsujiwaki, Mitsuru Yanai, Sayaka Yuzawa, Maki Ogura, Yutaka Hatanaka
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1115 (2024)
The development of next-generation sequencing (NGS) has enabled the discovery of cancer-specific driver gene alternations, making precision medicine possible. However, accurate genetic testing requires a sufficient amount of tumor cells in the specim
Externí odkaz:
https://doaj.org/article/d83d2d165ed54f929cd0611be8d9b972
Publikováno v:
WArtificial Intelligence in Cancer. 1:31-38
Autor:
Mari Watanabe, Youshi Tazoe, Dong-Kyung Yoon, Amane Makino, Keiki Ishiyama, Tadahiko Mae, Yuji Suzuki, Mao Suganami, Serina Imaruoka, Mitsuhiro Obara, Maki Ogura, Hiroyuki Ishida
Publikováno v:
Nature Food. 1:134-139
The green revolution’s breeding of semi-dwarf rice cultivars in the 1960s improved crop yields, with large increases in the use of nitrogen (N) fertilizer. However, excess N application has caused serious environmental problems, including acid rain
Autor:
Eric Cosatto, Kyle S. Gerard, Kanako C. Hatanaka, Hans-Peter Graf, Yutaka Hatanaka, Yoshihiro Matsuno, Tomoharu Kiyuna, Maki Ogura
Publikováno v:
Medical Imaging 2021: Digital Pathology.
We propose a method to accurately obtain the ratio of tumor cells over an entire histological slide. We use deep fully convolutional neural network models trained to detect and classify cells on images of H&E-stained tissue sections. Pathologists' la
Autor:
Maki Ogura, Tomoharu Kiyuna, Robert Yoshiyuki Osamura, Masato Kawashima, Hiroyasu Saiga, Naruaki Matsui
Publikováno v:
Acta Cytol
This short article describes the method of digital cytopathology using Z-stack scanning with or without extended focusing. This technology is suitable to observe such thick clusters as adenocarcinoma on cytologic specimens. Artificial intelligence (A
Publikováno v:
Medical Molecular Morphology. 49:76-82
The number of people afflicted with oral carcinoma in Japan has increased in recent years. Although preoperative neoadjuvant therapy with cisplatin and 5-fluorouracil are performed, chemotherapeutic response varies widely among the patients. With the
Publikováno v:
Journal of Life Cycle Assessment, Japan. 11:142-146
Publikováno v:
Journal of Bioscience and Bioengineering. 109:576-582
Five bacterial strains capable of utilizing 17beta-estradiol (E2) and estrone (E1) were isolated from soil samples. Using their morphological and physiological features and 16S rDNA sequences, we classified these isolates into two groups: Group A (Rh
Autor:
Akira Saito, Kosuke Oikawa, Hideyuki Tanabe, Masahiko Kuroda, Tomoharu Kiyuna, Masakatsu Takanashi, Keiichi Yoshida, Akihiro Umezawa, Maki Ogura
Publikováno v:
Biochemical and Biophysical Research Communications. 374:361-364
Each chromosome occupies its own-specific space called a ‘territory’ within the interphase nucleus, and the arrangement of chromosome territories (CTs) is important in epigenetic mechanisms. The molecular mechanism to determine the positioning of
Automatic classification of hepatocellular carcinoma images based on nuclear and structural features
Autor:
Eric Cosatto, Atsushi Marugame, Yoshiko Yamashita, Akira Saito, Akinori Hashiguchi, Tokiya Abe, Maki Ogura, Tomoharu Kiyuna, Michiie Sakamoto
Publikováno v:
Medical Imaging: Digital Pathology
Diagnosis of hepatocellular carcinoma (HCC) on the basis of digital images is a challenging problem because, unlike gastrointestinal carcinoma, strong structural and morphological features are limited and sometimes absent from HCC images. In this stu