KD-SqueezeNet: an efficient deep learning strategy for the multi-task diagnosis of neonatal lung diseases.
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| Title: | KD-SqueezeNet: an efficient deep learning strategy for the multi-task diagnosis of neonatal lung diseases. |
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| Authors: | Li J; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China.; The Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Pan R; Hangzhou Normal University, Hangzhou, China., Tian F; Sichuan Agricultural University, Yucheng, China., Pan P; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China.; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, China., Yan Z; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China. yanzhihanwz@163.com.; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, China. yanzhihanwz@163.com. |
| Source: | Pediatric radiology [Pediatr Radiol] 2026 Feb 20. Date of Electronic Publication: 2026 Feb 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0365332 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1998 (Electronic) Linking ISSN: 03010449 NLM ISO Abbreviation: Pediatr Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41718759 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: KD-SqueezeNet: an efficient deep learning strategy for the multi-task diagnosis of neonatal lung diseases. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China.; The Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Pan+R%22">Pan R</searchLink>; Hangzhou Normal University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Tian+F%22">Tian F</searchLink>; Sichuan Agricultural University, Yucheng, China.<br /><searchLink fieldCode="AU" term="%22Pan+P%22">Pan P</searchLink>; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China.; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Yan+Z%22">Yan Z</searchLink>; The Department of Radiology, Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Xueyuan West Road, Wenzhou, 325027, China. yanzhihanwz@163.com.; Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, China. yanzhihanwz@163.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220365332%22">Pediatric radiology</searchLink> [Pediatr Radiol] 2026 Feb 20. <i>Date of Electronic Publication: </i>2026 Feb 20. – 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="%22Springer-Verlag%22">Springer-Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>0365332 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1998 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203010449%22">03010449 </searchLink><i>NLM ISO Abbreviation: </i>Pediatr Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41718759 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00247-026-06534-0 Languages: – Code: eng Text: English Titles: – TitleFull: KD-SqueezeNet: an efficient deep learning strategy for the multi-task diagnosis of neonatal lung diseases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Pan R – PersonEntity: Name: NameFull: Tian F – PersonEntity: Name: NameFull: Pan P – PersonEntity: Name: NameFull: Yan Z IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 02 Text: 2026 Feb 20 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1432-1998 Titles: – TitleFull: Pediatric radiology Type: main |
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