Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 7; pp. 2133 - 2145 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2025
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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=186243664&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186243664 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2025 vid: 63 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186243664 182972365 10.1007/s11517-025-03320-2 186243664 ppf: 2133 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation. aug: au: Takahashi, Yukino Sugino, Takaaki Onogi, Shinya Nakajima, Yoshikazu Masuda, Kohji affil: https://ror.org/00qg0kr10 Department of Biomedical Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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