Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images.
| Published in: | European Radiology Vol. 32; no. 7; pp. 4801 - 4813 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2022
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157571548&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157571548 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2022 vid: 32 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 157571548 155260464 155798574 10.1007/s00330-022-08573-1 157571548 ppf: 4801 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images. aug: au: Jiang, Chong Chen, Kai Teng, Yue Ding, Chongyang Zhou, Zhengyang Gao, Yang Wu, Junhua He, Jian He, Kelei Zhang, Junfeng affil: Department of Nuclear Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, No. 321, Zhongshan Road, 210008, Nanjing City, Jiangsu Province, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|