Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations

Author:

Azizi Shekoofeh,Bayat Sharareh,Yan Pingkun,Tahmasebi Amir,Nir Guy,Kwak Jin Tae,Xu Sheng,Wilson Storey,Iczkowski Kenneth A.,Lucia M. Scott,Goldenberg Larry,Salcudean Septimiu E.,Pinto Peter A.,Wood Bradford,Abolmaesumi Purang,Mousavi Parvin

Funder

Canadian Institutes of Health Research

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference33 articles.

1. Azizi S, Imani F, Ghavidel S, Tahmasebi A, Wood B, Mousavi P, Abolmaesumi P (2016) Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int J Comput Assist Radiol Surg. 11(6):947–956

2. Azizi S, Imani F, Kwak JT, Tahmasebi A, Xu S, Yan P, Kruecker J, Turkbey B, Choyke P, Pinto P, Wood B, Mousavi P, Abolmaesumi P (2016) Classifying cancer grades using temporal ultrasound for transrectal prostate biopsy. International conference on medical image computing and computer-assisted intervention. Springer, Berlin, pp 653–661

3. Azizi S, Imani F, Zhuang B, Tahmasebi A, Kwak JT, Xu S, Uniyal N, Turkbey B, Choyke P, Pinto P, Wood B, Mousavi P, Abolmaesumi P (2015) Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks. International conference on medical image computing and computer-assisted intervention. Springer, Berlin, pp 70–77

4. Bell AJ, Sejnowski TJ (1997) The independent components of natural scenes are edge filters. Vis Res 37(23):3327–3338

5. Bengio Y, Lamblin P, Popovici D, Larochelle H (2007) Greedy layer-wise training of deep networks. Adv Neural Inf Process Syst 19:153

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