• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Terada Yukihiro  寺田 志洋

ORCIDConnect your ORCID iD *help
… Alternative Names

寺田 志洋  テラダ ユキヒロ

Less
Researcher Number 10712789
Affiliation (Current) 2025: 信州大学, 医学部附属病院, 助教(診療)
Affiliation (based on the past Project Information) *help 2023: 信州大学, 医学部, 特任助教
2022: 信州大学, 医学部附属病院, 助教(特定雇用)
2019 – 2021: 静岡県立静岡がんセンター(研究所), その他部局等, 研究員
Review Section/Research Field
Principal Investigator
Basic Section 49020:Human pathology-related
Keywords
Principal Investigator
ゲノム解析 / 病理 / デジタルパソロジー / 腫瘍構成成分 / 予後因子 / 肺腺癌 / 腫瘍内微小環境 / 人工知能 / 予後予測 / 肺癌
  • Research Projects

    (1 results)
  • Research Products

    (4 results)
  •  肺癌病理診断におけるデジタルパソロジー技術及び人工知能の有用性の検討Principal Investigator

    • Principal Investigator
      寺田 志洋
    • Project Period (FY)
      2019 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 49020:Human pathology-related
    • Research Institution
      Shinshu University
      Shizuoka Cancer Center Research Institute

All 2023 2021 2020

All Journal Article Presentation

  • [Journal Article] The efficacy of a machine learning algorithm for assessing tumour components as a prognostic marker of surgically resected stage IA lung adenocarcinoma2023

    • Author(s)
      Yukihiro Tterada, et al.
    • Journal Title

      Japanese Journal of Clinical Oncology

      Volume: 53 Issue: 2 Pages: 161-167

    • DOI

      10.1093/jjco/hyac176

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K16573
  • [Journal Article] Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non-small cell lung cancer2023

    • Author(s)
      Yukihiro Tterada, et al.
    • Journal Title

      Cancer Reports

      Volume: -

    • DOI

      10.1002/cnr2.1926

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K16573
  • [Presentation] 機械学習による腫瘍構成成分の定量的測定は、pStageIA原発性肺腺癌の予後予測に有用である2021

    • Author(s)
      寺田志洋
    • Organizer
      第62回日本肺癌学会学術集会
    • Data Source
      KAKENHI-PROJECT-19K16573
  • [Presentation] 非小細胞肺癌における機械学習アルゴリズムを用いたCD8陽性腫瘍内浸潤リンパ球の評価と予後との関連性2020

    • Author(s)
      寺田志洋
    • Organizer
      第61回日本肺癌学会
    • Data Source
      KAKENHI-PROJECT-19K16573

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi