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IEEE Signal Processing Magazine - Article Supplementary Resource

IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Sigport proudly hosts presentation slides and supplementary materials for SPM articles.

REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES

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Authors:
F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart
Submitted On:
15 September 2017 - 4:08am
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ICIP2017_sigport.pdf

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[1] F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart, "REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2098. Accessed: Sep. 21, 2017.
@article{2098-17,
url = {http://sigport.org/2098},
author = {F. Kucharczak; C. Mory; O. Strauss; F. Comby; D. Mariano-Goulart },
publisher = {IEEE SigPort},
title = {REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES},
year = {2017} }
TY - EJOUR
T1 - REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES
AU - F. Kucharczak; C. Mory; O. Strauss; F. Comby; D. Mariano-Goulart
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2098
ER -
F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart. (2017). REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES. IEEE SigPort. http://sigport.org/2098
F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart, 2017. REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES. Available at: http://sigport.org/2098.
F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart. (2017). "REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES." Web.
1. F. Kucharczak, C. Mory, O. Strauss, F. Comby, D. Mariano-Goulart. REGULARIZED SELECTION: A NEW PARADIGM FOR INVERSE BASED REGULARIZED IMAGE RECONSTRUCTION TECHNIQUES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2098

COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION


We investigate the impacts of objective functions on the performance of deep-learning-based prostate magnetic resonance image segmentation. To this end, we first develop a baseline convolutional neural network (BCNN) for the prostate image segmentation, which consists of encoding, bridge, decoding, and classification modules. In the BCNN, we use 3D convolutional layers to consider volumetric information. Also, we adopt the residual feature forwarding and intermediate feature propagation techniques to make the BCNN reliably trainable for various objective functions.

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Authors:
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim
Submitted On:
13 September 2017 - 10:57pm
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[1] Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim, "COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1991. Accessed: Sep. 21, 2017.
@article{1991-17,
url = {http://sigport.org/1991},
author = {Juhyeok Mun; Won-Dong Jang; Deuk Jae Sung; Chang-Su Kim },
publisher = {IEEE SigPort},
title = {COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION},
year = {2017} }
TY - EJOUR
T1 - COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION
AU - Juhyeok Mun; Won-Dong Jang; Deuk Jae Sung; Chang-Su Kim
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1991
ER -
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim. (2017). COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION. IEEE SigPort. http://sigport.org/1991
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim, 2017. COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION. Available at: http://sigport.org/1991.
Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim. (2017). "COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION." Web.
1. Juhyeok Mun, Won-Dong Jang, Deuk Jae Sung, Chang-Su Kim. COMPARISON OF OBJECTIVE FUNCTIONS IN CNN-BASED PROSTATE MAGNETIC RESONANCE IMAGE SEGMENTATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1991