Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
especially with the increased proportion of elderly population. Early detection of prostate …
[HTML][HTML] Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Despite technological and medical advances, the detection, interpretation, and treatment of
cancer based on imaging data continue to pose significant challenges. These include inter …
cancer based on imaging data continue to pose significant challenges. These include inter …
[PDF][PDF] A review of generative adversarial networks in cancer imaging: New applications, new solutions
Despite technological and medical advances, the detection, interpretation, and treatment of
cancer based on imaging data continue to pose significant challenges. These include high …
cancer based on imaging data continue to pose significant challenges. These include high …
Convolutional generative adversarial network, via transfer learning, for traditional scottish music generation
The concept of a Binary Multi-track Sequential Generative Adversarial Network
(BinaryMuseGAN) used for the generation of music has been applied and tested for various …
(BinaryMuseGAN) used for the generation of music has been applied and tested for various …
DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis
A Hamidinekoo, GA Garzón-Martínez… - …, 2020 - academic.oup.com
Background High-throughput phenotyping based on non-destructive imaging has great
potential in plant biology and breeding programs. However, efficient feature extraction and …
potential in plant biology and breeding programs. However, efficient feature extraction and …
[HTML][HTML] Investigating the performance of generative adversarial networks for prostate tissue detection and segmentation
U Cem Birbiri, A Hamidinekoo, A Grall, P Malcolm… - Journal of …, 2020 - mdpi.com
The manual delineation of region of interest (RoI) in 3D magnetic resonance imaging (MRI)
of the prostate is time-consuming and subjective. Correct identification of prostate tissue is …
of the prostate is time-consuming and subjective. Correct identification of prostate tissue is …
Exploiting supplementary data and knowledge for improved CNN-based segmentation of prostate structures in T2-weighted MRI
A Meyer - 2022 - repo.bibliothek.uni-halle.de
Magnetic resonance imaging (MRI) is gaining increasing importance for the diagnosis and
treatment of prostate cancer (PCa). One integral part in the analysis of MRI scans is the …
treatment of prostate cancer (PCa). One integral part in the analysis of MRI scans is the …
Research on the Method of Rub-Impact Fault Recognition Based on the Conditional Generative Adversarial Nets and Acoustic Emission
J Li, A Deng, Y Yang, J Zhu… - … & Data Analytics in the era …, 2020 - ieeexplore.ieee.org
A large number of effective annotated data is the key support for learning a fault diagnosis
model of mechanical equipment. However, the existing practical samples used for training …
model of mechanical equipment. However, the existing practical samples used for training …