Patch-based U-NET model and MSqueezeNet-PyramidNet for efficient segmentation and classification of tuberculosis, pneumonia, and COVID-19.
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| Title: | Patch-based U-NET model and MSqueezeNet-PyramidNet for efficient segmentation and classification of tuberculosis, pneumonia, and COVID-19. |
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| Authors: | Bhongale, Madhavi1, Maindarkar, Mahesh1, Vyas, Ajit2, Vyas, Renu1, renu.vyas@mituniversity.edu.in |
| Source: | Multimedia Tools & Applications; Oct2025, Vol. 84 Issue 33, p41765-41799, 35p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188315053 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-025-20788-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 41765 Titles: – TitleFull: Patch-based U-NET model and MSqueezeNet-PyramidNet for efficient segmentation and classification of tuberculosis, pneumonia, and COVID-19. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bhongale, Madhavi – PersonEntity: Name: NameFull: Maindarkar, Mahesh – PersonEntity: Name: NameFull: Vyas, Ajit – PersonEntity: Name: NameFull: Vyas, Renu IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 33 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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