Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks

Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of radiographs while helping to improve diagnostic accuracy (Artan et al 2010 IEEE Trans. Image Process . 19 2444–55, Litjens et al 2014 IEEE Trans. Med. Imaging 33 1083–92, Liu et al 2013 SPIE Medical Imaging (International Society for Optics and Photonics) p 86701G, Moradi et al 2012 J. Magn. Reson. Imaging 35 1403–13, Niaf et al 2014 IEEE Trans. Image Process . 23 979–91, Niaf et al 2012 Phys. Med. Biol . 57 3833, Peng et al 2013a SPIE Medical Imaging (International Society for Optics and Photonics) p 86701H, Peng et al 2013b Radiology 267 787–96, Wang et al 2014 BioMed. Res. Int . 2014 ). This paper presents an automated method based on mu...

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