TY - GEN
T1 - A mixture of views network with applications to the classification of breast microcalcifications
AU - Shachor, Yaniv
AU - Greenspan, Hayit
AU - Goldberger, Jacob
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - In this paper we examine data fusion methods for multi-view data classification. We present a decision concept which explicitly takes into account the input multi-view structure, where for each case there is a different subset of relevant views. The proposed method, which we dub Mixture of Views, is implemented by a special purpose neural network architecture. It is demonstrated on the task of classifying breast microcalcifications as benign or malignant based on several mammography views. The single view decisions are combined by a data-driven decision, according to the relevance of each view in a given case, into a global decision. The method is evaluated on a large multi-view dataset extracted from the standardized digital database for screening mammography (DDSM). The experimental results show that our method outperforms previously suggested fusion methods.
AB - In this paper we examine data fusion methods for multi-view data classification. We present a decision concept which explicitly takes into account the input multi-view structure, where for each case there is a different subset of relevant views. The proposed method, which we dub Mixture of Views, is implemented by a special purpose neural network architecture. It is demonstrated on the task of classifying breast microcalcifications as benign or malignant based on several mammography views. The single view decisions are combined by a data-driven decision, according to the relevance of each view in a given case, into a global decision. The method is evaluated on a large multi-view dataset extracted from the standardized digital database for screening mammography (DDSM). The experimental results show that our method outperforms previously suggested fusion methods.
KW - Deep learning
KW - Lesion classification
KW - Microcalcifications
KW - Mixture of experts
UR - http://www.scopus.com/inward/record.url?scp=85073898346&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2019.8759433
DO - 10.1109/ISBI.2019.8759433
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AN - SCOPUS:85073898346
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1065
EP - 1069
BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
Y2 - 8 April 2019 through 11 April 2019
ER -