Augmented Radiology: Feature Space Transfer Model for Prostate Cancer Stage Prediction

Recent improvements in medical image analysis using deep learning-based neural networks can potentially be exploited to enhance the performance of computer-aided detection/diagnosis systems. In this study, we propose a feature space transfer mode (FSTM) for learning the phenotype relationships betwe...

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Bibliographic Details
Main Authors: Masahiro Ogino, Zisheng Li, Akinobu Shimizu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9490249/