Convolutional Attention Network for MRI-based Alzheimer's Disease Classification and its Interpretability Analysis

Yasemin Türkan, F. Boray Tek

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal neuroimaging data, which is time-consuming and difficult to interpret and classify. Therefore, interest in deep learning approaches for the classification of 3D structural MRI brain scans has grown rapidly. In this research study, we improved the 3D VGG model proposed by Korolev et al. [2]. We increased the filters in the 3D convolutional layers and then added an attention mechanism for better classification. We compared the performance of the proposed approaches for the classification of Alzheimer's disease versus mild cognitive impairments and normal cohorts on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. We observed that both the accuracy and area under curve results improved with the proposed models. However, deep neural networks are black boxes that produce predictions that require further explanation for medical usage. We compared the 3D-data interpretation capabilities of the proposed models using four different interpretability methods: Occlusion, 3D Ultrametric Contour Map, 3D Gradient-Weighted Class Activation Mapping, and SHapley Additive explanations (SHAP). We observed that explanation results differed in different network models and data classes.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar151-156
Sayfa sayısı6
ISBN (Elektronik)9781665429085
DOI'lar
Yayın durumuYayınlandı - 2021
Harici olarak yayınlandıEvet
Etkinlik6th International Conference on Computer Science and Engineering, UBMK 2021 - Ankara, Turkey
Süre: 15 Eyl 202117 Eyl 2021

Yayın serisi

AdıProceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021

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???event.eventtypes.event.conference???6th International Conference on Computer Science and Engineering, UBMK 2021
Ülke/BölgeTurkey
ŞehirAnkara
Periyot15/09/2117/09/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE

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