Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI

6533b822fe1ef96bd127d69d

RESEARCH PRODUCT

Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI

Zia Khan Khaled Alsaih Norashikin Yahya Fabrice Meriaudeau Syed Saad Azhar Ali

subject

Male Similarity (geometry)Computer science SegNet 02 engineering and technology lcsh:Chemical technology Biochemistry Article encoder–decoder 030218 nuclear medicine & medical imaging Analytical Chemistry 03 medical and health sciences Prostate cancer 0302 clinical medicine Prostate Image Processing Computer-Assisted 0202 electrical engineering electronic engineering information engineering medicine Humans lcsh:TP1-1185 Segmentation Electrical and Electronic Engineering Instrumentation medicine.diagnostic_test Pixel business.industry Prostate CNNs Pattern recognition Magnetic resonance imaging FCN medicine.disease Magnetic Resonance Imaging U-Net Atomic and Molecular Physics and Optics Semantics Intensity normalization medicine.anatomical_structure DeepLabV3+Deep neural networks 020201 artificial intelligence & image processing Neural Networks Computer Artificial intelligence business DNN

description

In this paper, we present an evaluation of four encoder&ndash

year	journal	country	edition	language
2020-06-03	Sensors

https://doi.org/10.3390/s20113183

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