Comparing the performance of various deep networks for binary classification of breast tumours

Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

6 Dyfyniadau (Scopus)

Crynodeb

Breast cancer is considered to have a high incidence among women worldwide. Recent development in biomedical image analysis using deep learning based neural networks have motivated researches to enhance the performance of Computer Aided Diagnosis (CAD) systems. In this paper, the performance of four different deep neural networks was compared for malignant/benign classification of mammographic mass abnormalities. For this aim, different annotated mammography repositories were introduced and the classification performance of four deep Convolutional Neural Networks (CNNs) on each dataset and on their combination was investigated. The robustness to over-fitting regarding the size of data and the approach of transfer learning were compared. Our quantitative results indicate the importance of training samples regardless of acquisition methods when training with various deep CNN models. We achieved an average accuracy of 85% and an average AUC of 0.83 in our best result on the combination of all datasets. However, we conclude that several runs with different samples are needed to understand the variation in the results, especially with smaller datasets.
Iaith wreiddiolSaesneg
Teitl14th International Workshop on Breast Imaging (IWBI 2018)
GolygyddionElizabeth A. Krupinski
CyhoeddwrSPIE
Tudalennau36-43
Nifer y tudalennau8
ISBN (Electronig)9781510620070
ISBN (Argraffiad)9781510620070, 1510620079
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 06 Gorff 2018
DigwyddiadThe 14th International Workshop of Breast Imaging - Atlanta, Unol Daleithiau America
Hyd: 08 Gorff 201811 Gorff 2018

Cyfres gyhoeddiadau

EnwProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Cyfrol10718
ISSN (Argraffiad)1605-7422

Cynhadledd

CynhadleddThe 14th International Workshop of Breast Imaging
Teitl crynoIWBI 2018
Gwlad/TiriogaethUnol Daleithiau America
DinasAtlanta
Cyfnod08 Gorff 201811 Gorff 2018

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