A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network

Purpose Deep learning models have had a great success in disease classifications using large data pools of skin cancer images or lung X‐rays. However, data scarcity has been the roadblock of applying deep learning models directly on prostate multiparametric MRI (mpMRI). Although model interpretation...

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Veröffentlicht in:	Medical physics (Lancaster) 2020-09, Vol.47 (9), p.4077-4086
Hauptverfasser:	Zong, Weiwei, Lee, Joon K., Liu, Chang, Carver, Eric N., Feldman, Aharon M., Janic, Branislava, Elshaikh, Mohamed A., Pantelic, Milan V., Hearshen, David, Chetty, Indrin J., Movsas, Benjamin, Wen, Ning
Format:	Artikel
Sprache:	eng
Schlagworte:	convolutional neural network Diffusion Magnetic Resonance Imaging Humans Male model interpretation Multiparametric Magnetic Resonance Imaging Neural Networks, Computer Prostate - diagnostic imaging prostate cancer mpMRI lesion classification Retrospective Studies saliency map small sample size
Online-Zugang:	Volltext
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