Siamese Network for Content-Based Image Retrieval: Detection of Alzheimer's Disease from neuroimaging data (CROSBI ID 731848)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Marin, Ivana ; Marasovic, Tea ; Gotovac, Sven
engleski
Siamese Network for Content-Based Image Retrieval: Detection of Alzheimer's Disease from neuroimaging data
In recent years deep-learning methods have demon- strated impressive results in various domains of computer vision, including medical imaging. This paper examines the possibility of leveraging deep- learning concepts in designing a computer system that could help clinicians make accurate Alzheimer disease (AD) diagnosis by retrieving the most similar archived brain scans of patients with already known diagnoses. We implement a siamese network with ResNet-50 twin subnetworks and train it on the MRI data obtained from ADNI (Alzheimer's Disease Neu-roimaging Initiative) dataset. Four different approaches for slice extraction from MRI volume are considered: using the three slices from the same plane (axial, coronal or sagittal) and combining one slice from each plane. The final performance of the CBIR system on new patient's data based only on MR neuroimaging modality shows limited and comparable performance with all four approaches and leaves space for further enhancements, including complementing neuroimaging MRI data with other data modalities relevant for AD detection.
Alzheimer's Disease ; Deep Learning ; Siamese Neural Network ; Magnetic Resonance Imaging (MRI) ; Content-Based Medical Image Retrieval (CBMIR)
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Podaci o prilogu
1-6.
2022.
objavljeno
10.23919/softcom55329.2022.9911487
Podaci o matičnoj publikaciji
SoftCOM 2022: 30th International Conference on Software, Telecommunications and Computer Networks: Proceedings
Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu
978-953-290-117-7
1847-358X
Podaci o skupu
30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022
predavanje
22.09.2022-24.09.2022
Split, Hrvatska