Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daiki Shimokawa"'
Publikováno v:
Artificial Life and Robotics.
A variety of planning research is being actively conducted in multiple research fields. The focus of these studies is to flexibly utilize both immediate and deliberative planning in response to the environment and to adaptively prioritize multiple go
Autor:
Daiki Shimokawa, Kengo Takahashi, Ken Oba, Eichi Takaya, Takuma Usuzaki, Mizuki Kadowaki, Kurara Kawaguchi, Maki Adachi, Tomofumi Kaneno, Toshinori Fukuda, Kazuyo Yagishita, Hiroko Tsunoda, Takuya Ueda
Purpose:To develop a deep learning (DL)-based algorithm to predict the presence of stromal invasion of breast cancer on digital breast tomosynthesis (DBT).Materials and Methods:The institutional review board approved this retrospective study and waiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::289b039185ef58e177ecf0c040b000dd
https://doi.org/10.21203/rs.3.rs-1807556/v1
https://doi.org/10.21203/rs.3.rs-1807556/v1
Autor:
Daiki Shimokawa, Kengo Takahashi, Daiya Kurosawa, Eichi Takaya, Ken Oba, Kazuyo Yagishita, Toshinori Fukuda, Hiroko Tsunoda, Takuya Ueda
Publikováno v:
Radiological physics and technology.
The purpose of this study was to develop a deep learning model to diagnose breast cancer by embedding a diagnostic algorithm that examines the asymmetry of bilateral breast tissue. This retrospective study was approved by the institutional review boa
Publikováno v:
CISIS
We have been developing an anomaly detection system (ADS) for detecting malicious communication from the Internet to our campus network. We implement two methods for blocking malicious communications. However, these blocking methods have some problem