Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions.

Saved in:
Bibliographic Details
Title: Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions.
Authors: Ye, Qiancheng1, yqc_5823595@126.com, Zhang, Qi2, qi.zhang@zju.edu.cn, Tian, Yu1, ty.1987823@163.com, Zhou, Tianshu1, zts@zju.edu.cn, Ge, Hongbin2, 3120101751@zju.edu.cn, Wu, Jiajun2, 21918349@zju.edu.cn, Lu, Na2, 3150103137@zju.edu.cn, Bai, Xueli2, shirleybai@ zju.edu.cn, Liang, Tingbo2, liangtingbo@zju.edu.cn, Li, Jingsong1, ljs@zju.edu.cn
Source: IEEE Journal of Biomedical & Health Informatics; Sep2021, Vol. 25 Issue 9, p3288-3299, 12p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 153376754
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ye%2C+Qiancheng%22">Ye, Qiancheng</searchLink><relatesTo>1</relatesTo>, <i>yqc_5823595@126.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Qi%22">Zhang, Qi</searchLink><relatesTo>2</relatesTo>, <i>qi.zhang@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Tian%2C+Yu%22">Tian, Yu</searchLink><relatesTo>1</relatesTo>, <i>ty.1987823@163.com</i><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Tianshu%22">Zhou, Tianshu</searchLink><relatesTo>1</relatesTo>, <i>zts@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Ge%2C+Hongbin%22">Ge, Hongbin</searchLink><relatesTo>2</relatesTo>, <i>3120101751@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wu%2C+Jiajun%22">Wu, Jiajun</searchLink><relatesTo>2</relatesTo>, <i>21918349@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lu%2C+Na%22">Lu, Na</searchLink><relatesTo>2</relatesTo>, <i>3150103137@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Bai%2C+Xueli%22">Bai, Xueli</searchLink><relatesTo>2</relatesTo>, <i>shirleybai@ zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liang%2C+Tingbo%22">Liang, Tingbo</searchLink><relatesTo>2</relatesTo>, <i>liangtingbo@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Jingsong%22">Li, Jingsong</searchLink><relatesTo>1</relatesTo>, <i>ljs@zju.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Biomedical+%26+Health+Informatics%22">IEEE Journal of Biomedical & Health Informatics</searchLink>; Sep2021, Vol. 25 Issue 9, p3288-3299, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=153376754
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/JBHI.2021.3071276
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 3288
    Titles:
      – TitleFull: Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ye, Qiancheng
      – PersonEntity:
          Name:
            NameFull: Zhang, Qi
      – PersonEntity:
          Name:
            NameFull: Tian, Yu
      – PersonEntity:
          Name:
            NameFull: Zhou, Tianshu
      – PersonEntity:
          Name:
            NameFull: Ge, Hongbin
      – PersonEntity:
          Name:
            NameFull: Wu, Jiajun
      – PersonEntity:
          Name:
            NameFull: Lu, Na
      – PersonEntity:
          Name:
            NameFull: Bai, Xueli
      – PersonEntity:
          Name:
            NameFull: Liang, Tingbo
      – PersonEntity:
          Name:
            NameFull: Li, Jingsong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 21682194
          Numbering:
            – Type: volume
              Value: 25
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: IEEE Journal of Biomedical & Health Informatics
              Type: main
ResultId 1