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Adopting transfer l...
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Soliman, Amira,1980-Högskolan i Halmstad,Akademin för informationsteknologi,Halmstad Univ, Sweden
(author)
Adopting transfer learning for neuroimaging : a comparative analysis with a custom 3D convolution neural network model
- Article/chapterEnglish2022
Publisher, publication year, extent ...
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2022-12-07
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London :BioMed Central (BMC),2022
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:hh-49079
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https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-49079URI
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https://doi.org/10.1186/s12911-022-02054-7DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191389URI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:151602205URI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Funding Agencies|Center for Applied Intelligent System Research (CAISR) at Halmstad University, Sweden; Department of Clinical Physiology, Department of Radiology; Center for Medical Imaging Visualization (CMIV) at Linkoeping University Hospital, Sweden; European DLB consortium; Analytic Imaging Diagnostics Arena (AIDA) initiative; VINNOVA; Formas [2017-02447]; Swedish Energy Agency; Swiss National Science Foundation; Velux Foundation [320030_169876, 320030_185028]; Flanders Research Foundation [1123]; [FWO 12I2121N]
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Background: In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged by lack of labeled data. To address this challenge, transfer learning (TL) has been applied to use state-of-the-art convolution neural networks pre-trained on natural images. Yet, there are differences in characteristics between medical and natural images, also image classification and targeted medical diagnosis tasks. The purpose of this study is to investigate the performance of specialized and TL in the classification of neurodegenerative disorders using 3D volumes of 18F-FDG-PET brain scans. Results: Results show that TL models are suboptimal for classification of neurodegenerative disorders, especially when the objective is to separate more than two disorders. Additionally, specialized CNN model provides better interpretations of predicted diagnosis. Conclusions: TL can indeed lead to superior performance on binary classification in timely and data efficient manner, yet for detecting more than a single disorder, TL models do not perform well. Additionally, custom 3D model performs comparably to TL models for binary classification, and interestingly perform better for diagnosis of multiple disorders. The results confirm the superiority of the custom 3D-CNN in providing better explainable model compared to TL adopted ones. © 2022, The Author(s).
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Chang, Jose R.Högskolan i Halmstad,Akademin för informationsteknologi,National Cheng Kung University, Tainan, Taiwan,Halmstad Univ, Sweden; Natl Cheng Kung Univ Tainan, Taiwan
(author)
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Etminani, Kobra,1984-Högskolan i Halmstad,Akademin för informationsteknologi,Halmstad Univ, Sweden(Swepub:hh)etikob
(author)
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Byttner, Stefan,1975-Halmstad Univ, Sweden(Swepub:hh)stefan
(author)
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Davidsson, AnetteLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)aneda83
(author)
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Martínez-Sanchis, BegoñaHospital Universitario La Fe, Valencia, Spain,La Fe Univ Hosp, Spain
(author)
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Camacho, ValleUniversitat Autònoma De Barcelona, Cerdanyola del Valles, Spain,Univ Autonoma Barcelona, Spain
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Bauckneht, MatteoIrccs San Martino Polyclinic Hospital, Genoa, Italy,IRCCS Osped Policlin San Martino, Italy
(author)
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Stegeran, RoxanaUniversity Hospital, Linkoping, Sweden,Region Östergötland, Röntgenkliniken i Linköping(Swepub:liu)n/a
(author)
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Ressner, MarcusLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Medicinsk strålningsfysik(Swepub:liu)marre80
(author)
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Agudelo-Cifuentes, MarcHospital Universitario La Fe, Valencia, Spain,La Fe Univ Hosp, Spain
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Chincarini, AndreaInfn Sezione Di Genova, Genoa, Italy,Natl Inst Nucl Phys INFN, Italy
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Brendel, MatthiasKlinikum Der Universität München, Munich, Germany,Ludwig Maximilians Univ Munchen, Germany
(author)
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Rominger, AxelInselspital, Bern, Switzerland,Univ Hosp Bern, Switzerland
(author)
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Bruffaerts, RoseUniversity Of Antwerp, Antwerpen, Belgium,Univ Antwerp, Belgium
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Vandenberghe, RikDepartment Of Neurosciences, Leuven, Belgium; University Hospitals Leuven, Leuven, Belgium,KU, Belgium; Univ Hosp Leuven, Belgium
(author)
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Kramberger, Milica G.Karolinska Institutet
(author)
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Trost, MajaUniversity Medical Centre Ljubljana, Ljubljana, Slovenia; Faculty Of Medicine, Ljubljana, Slovenia,Univ Med Ctr, Slovenia; Univ Ljubljana, Slovenia
(author)
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Nicastro, NicolasGeneva University Hospitals, Geneva, Switzerland,Geneva Univ Hosp, Switzerland,Vrije Univ Amsterdam, Netherlands
(author)
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Frisoni, Giovanni B.Geneva University Hospitals, Geneva, Switzerland,Univ Hosp, Switzerland
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Lemstra, Afina W.Vu University Medical Center, Amsterdam, Netherlands,VU Med Ctr Alzheimer Ctr, Netherlands
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Berckel, Bart N.M.vanVrije Universiteit Amsterdam, Amsterdam, Netherlands
(author)
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Pilotto, AndreaUniversity Of Brescia, Brescia, Italy,Univ Brescia, Italy
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Padovani, AlessandroIrccs San Martino Polyclinic Hospital, Genoa, Italy,IRCCS Osped Policlin San Martino, Italy
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Morbelli, SilviaStavanger University Hospital, Stavanger, Norway,Stavanger Univ Hosp, Norway
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Aarsland, DagKarolinska Institutet
(author)
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Nobili, FlavioUniversity Of Genoa, Genoa, Italy,Univ Genoa, Italy
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Garibotto, ValentinaGeneva University Hospitals, Geneva, Switzerland,Univ Geneva, Switzerland; Univ Geneva, Switzerland
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Ochoa-Figueroa, MiguelLinköpings universitet,Institutionen för hälsa, medicin och vård,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US,Region Östergötland, Röntgenkliniken i Linköping(Swepub:liu)n/a
(author)
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Högskolan i HalmstadAkademin för informationsteknologi
(creator_code:org_t)
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In:BMC Medical Informatics and Decision MakingLondon : BioMed Central (BMC)22, s. 1-151472-6947
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Soliman, Amira, ...
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Chang, Jose R.
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Etminani, Kobra, ...
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Davidsson, Anett ...
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Camacho, Valle
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Chincarini, Andr ...
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Brendel, Matthia ...
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Rominger, Axel
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Bruffaerts, Rose
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Vandenberghe, Ri ...
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Trost, Maja
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Nicastro, Nicola ...
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Frisoni, Giovann ...
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Lemstra, Afina W ...
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Berckel, Bart N. ...
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Pilotto, Andrea
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Padovani, Alessa ...
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Aarsland, Dag
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Nobili, Flavio
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Ochoa-Figueroa, ...
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Halmstad University
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Linköping University
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Karolinska Institutet