Uncovering prostate cancer aggressiveness signal in T2‐weighted MRI through a three‐reference tissues normalization technique
Ahmad Algohary,
Evangelia I. Zacharaki,
Adrian L. Breto
et al.
Abstract:Quantitative T2‐weighted MRI (T2W) interpretation is impeded by the variability of acquisition‐related features, such as field strength, coil type, signal amplification, and pulse sequence parameters. The main purpose of this work is to develop an automated method for prostate T2W intensity normalization. The procedure includes the following: (i) a deep learning‐based network utilizing MASK R‐CNN for automatic segmentation of three reference tissues: gluteus maximus muscle, femur, and bladder; (ii) fitting a s… Show more
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