Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.
| Publicado en: | European Radiology Vol. 33; no. 6; pp. 4292 - 4303 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163727635&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163727635 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2023 vid: 33 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163727635 160983768 10.1007/s00330-022-09347-5 163727635 ppf: 4292 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia. aug: au: Kim, Taek Min Choi, Seung Jae Ko, Ji Yeon Kim, Sungwan Jeong, Chang Wook Cho, Jeong Yeon Kim, Sang Youn Kim, Young-Gon affil: Department of Radiology, Seoul National University Hospital, Seoul, Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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