View in EDS HTML Full Text PDF Full Text

Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT).

Saved in:
Bibliographic Details
Title: Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT).
Authors: Renzulli M; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Mottola M; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy., Coppola F; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Cocozza MA; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Malavasi S; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy., Cattabriga A; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Vara G; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Ravaioli M; General Surgery and Transplant Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Sant'Orsola-Malpighi Hospital, 40138 Bologna, Italy., Cescon M; General Surgery and Transplant Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Sant'Orsola-Malpighi Hospital, 40138 Bologna, Italy., Vasuri F; Pathology Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy., Golfieri R; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy., Bevilacqua A; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy.; Department of Computer Science and Engineering (DISI), University of Bologna, 40126 Bologna, Italy.
Source: Cancers [Cancers (Basel)] 2022 Apr 03; Vol. 14 (7). Date of Electronic Publication: 2022 Apr 03.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 35406589
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT).
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Renzulli+M%22">Renzulli M</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Mottola+M%22">Mottola M</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Coppola+F%22">Coppola F</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Cocozza+MA%22">Cocozza MA</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Malavasi+S%22">Malavasi S</searchLink>; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Cattabriga+A%22">Cattabriga A</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Vara+G%22">Vara G</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Ravaioli+M%22">Ravaioli M</searchLink>; General Surgery and Transplant Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Sant'Orsola-Malpighi Hospital, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Cescon+M%22">Cescon M</searchLink>; General Surgery and Transplant Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, Sant'Orsola-Malpighi Hospital, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Vasuri+F%22">Vasuri F</searchLink>; Pathology Unit, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Golfieri+R%22">Golfieri R</searchLink>; Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Bevilacqua+A%22">Bevilacqua A</searchLink>; Advanced Research Center on Electronic Systems (ARCES), University of Bologna, 40126 Bologna, Italy.; Department of Computer Science and Engineering (DISI), University of Bologna, 40126 Bologna, Italy.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101526829%22">Cancers</searchLink> [Cancers (Basel)] 2022 Apr 03; Vol. 14 (7). <i>Date of Electronic Publication: </i>2022 Apr 03.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101526829 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2072-6694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220726694%22">20726694 </searchLink><i>NLM ISO Abbreviation: </i>Cancers (Basel) <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35406589
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/cancers14071816
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT).
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Renzulli M
      – PersonEntity:
          Name:
            NameFull: Mottola M
      – PersonEntity:
          Name:
            NameFull: Coppola F
      – PersonEntity:
          Name:
            NameFull: Cocozza MA
      – PersonEntity:
          Name:
            NameFull: Malavasi S
      – PersonEntity:
          Name:
            NameFull: Cattabriga A
      – PersonEntity:
          Name:
            NameFull: Vara G
      – PersonEntity:
          Name:
            NameFull: Ravaioli M
      – PersonEntity:
          Name:
            NameFull: Cescon M
      – PersonEntity:
          Name:
            NameFull: Vasuri F
      – PersonEntity:
          Name:
            NameFull: Golfieri R
      – PersonEntity:
          Name:
            NameFull: Bevilacqua A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 04
              Text: 2022 Apr 03
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 2072-6694
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Cancers
              Type: main
ResultId 1