Publication:

Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging

Date

2023
Journal article
https://doi.org/10.1109/ACCESS.2023.3331315
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dc.contributor.authorGonidakis, Panagiotis
dc.contributor.authorSonora-Mengana, Alexander
dc.contributor.authorJansen, Bart
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.imecauthorGonidakis, Panagiotis
dc.contributor.imecauthorJansen, Bart
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecJansen, Bart::0000-0001-8042-6834
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.date.accessioned2024-01-31T09:05:38Z
dc.date.available2023-12-02T16:54:27Z
dc.date.available2024-01-31T09:05:38Z
dc.date.embargo2023-11-14
dc.date.issued2023
dc.identifier.doi10.1109/ACCESS.2023.3331315
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43217
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage126221
dc.source.endpage126231
dc.source.issueN/A
dc.source.journalIEEE ACCESS
dc.source.numberofpages11
dc.source.volume11
dc.subject.keywordsPULMONARY NODULES
dc.title

Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging

dc.typeJournal article
dspace.entity.typePublication
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