Open Access
27 September 2019 Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)
Yohan Sumathipala, Nathan Lay, Baris Turkbey, Clayton Smith, Peter L. Choyke, Ronald M. Summers
Author Affiliations +
Abstract

This erratum corrects an error in the article, “Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system,” by Y. Sumathipala et al.

This article [J. Med. Imaging 5(4), 044507 (2018), doi: 10.1117/1.JMI.5.4.044507] was originally published online on 15 December 2018 with an error in section 2.1.

Original text:

“It was required that all segmentations correlate with radical prostatectomy whole mount specimens. Pathologists provided tumor contours on H&E-stained histopathology to the radiologists who used this information to manually draw tumor contours on T2WI sequences.”

Corrected text:

“The tumor segmentations for institute 6 were based on TRUS/MRI fusion guided transrectal biopsy histopathology, whereas tumor segmentations of all the other institutes were based on radical prostatectomy derived histopathology. The radiologist used this validation information to manually draw tumor contours on axial T2WI sequences.”

This article was corrected online on 11 September 2019.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yohan Sumathipala, Nathan Lay, Baris Turkbey, Clayton Smith, Peter L. Choyke, and Ronald M. Summers "Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)," Journal of Medical Imaging 6(3), 039803 (27 September 2019). https://doi.org/10.1117/1.JMI.6.3.039803
Published: 27 September 2019
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KEYWORDS
Convolutional neural networks

Magnetic resonance imaging

Prostate cancer

Tumors

Imaging systems

Image segmentation

Computer aided diagnosis and therapy

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