Adaptive frequency saliency model based on convolutional neural networks: a case study for prostate cancer MRI

15th International Symposium on Medical Information Processing and Analysis ◽

10.1117/12.2542578 ◽

2020 ◽

Author(s):

Nicolás Múnera Garzón ◽

Charlems Álvarez-Jimenez ◽

Fabio González ◽

Eduardo Romero

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Model Based ◽

Saliency Model

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DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural Networks

IEEE Transactions on Cognitive and Developmental Systems ◽

10.1109/tcds.2019.2894561 ◽

2020 ◽

Vol 12 (1) ◽

pp. 54-63 ◽

Cited By ~ 5

Author(s):

Ali Mahdi ◽

Jun Qin ◽

Garth Crosby

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Top Down ◽

Bottom Up ◽

Model Based ◽

Saliency Model

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Enhanced Active Learning of Convolutional Neural Networks: A Case Study for Defect Classification in the Semiconductor Industry

Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management ◽

10.5220/0010142902630270 ◽

2020 ◽

Author(s):

Georgios Koutroulis ◽

Tiago Santos ◽

Michael Wiedemann ◽

Christian Faistauer ◽

Roman Kern ◽

...

Keyword(s):

Neural Networks ◽

Active Learning ◽

Convolutional Neural Networks ◽

Semiconductor Industry ◽

Defect Classification

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SLC-GAN: An Automated Myocardial Infarction Detection Model Based on Generative Adversarial Networks and Convolutional Neural Networks with Single-Lead Electrocardiogram Synthesis

Information Sciences ◽

10.1016/j.ins.2021.12.083 ◽

2022 ◽

Author(s):

Wenqiang Li ◽

Yuk Ming Tang ◽

Kai Ming Yu ◽

Suet To

Keyword(s):

Myocardial Infarction ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Generative Adversarial Networks ◽

Detection Model ◽

Model Based ◽

Adversarial Networks

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An Efficient Acoustic Model Based on Deep Feedforward Sequential Memory Networks and Convolutional Neural Networks

10.1109/prai53619.2021.9551064 ◽

2021 ◽

Author(s):

Yanrui Zheng ◽

Xiaofeng Yuan ◽

Gang Peng ◽

Wei Zeng

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Acoustic Model ◽

Model Based ◽

Sequential Memory

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Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545754 ◽

2018 ◽

Cited By ~ 4

Author(s):

Yunzhi Wang ◽

Bin Zheng ◽

Dashan Gao ◽

Jiao Wang

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Magnetic Resonance ◽

Convolutional Neural Networks ◽

Cancer Detection ◽

Magnetic Resonance Images ◽

Prostate Cancer Detection ◽

Initial Investigation ◽

Fully Convolutional Neural Networks

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A Deep Learning Model Based on Convolutional Neural Networks for Classification of Magnetic Resonance Prostate Images

Artificial Intelligence and Applied Mathematics in Engineering Problems - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-36178-5_59 ◽

2020 ◽

pp. 701-708

Author(s):

Fatih Uysal ◽

Fırat Hardalaç ◽

Mustafa Koç

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Magnetic Resonance ◽

Convolutional Neural Networks ◽

Learning Model ◽

Model Based ◽

Deep Learning Model

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Deep convolutional neural networks as a decision support tool in medical problems – malignant melanoma case study

Advances in Intelligent Systems and Computing - Trends in Advanced Intelligent Control, Optimization and Automation ◽

10.1007/978-3-319-60699-6_81 ◽

2017 ◽

pp. 848-856 ◽

Cited By ~ 9

Author(s):

Arkadiusz Kwasigroch ◽

Agnieszka Mikołajczyk ◽

Michał Grochowski

Keyword(s):

Neural Networks ◽

Decision Support ◽

Malignant Melanoma ◽

Convolutional Neural Networks ◽

Decision Support Tool ◽

Deep Convolutional Neural Networks ◽

Medical Problems ◽

Support Tool ◽

Melanoma Case

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A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) ◽

10.1109/i2mtc50364.2021.9459990 ◽

2021 ◽

Author(s):

Tianyu Gao ◽

Jingli Yang ◽

Shouda Jiang ◽

Cheng Yang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Analog Circuits ◽

Model Based ◽

Diagnosis Model ◽

Gated Recurrent Unit

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Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-020-01773-x ◽

2020 ◽

Cited By ~ 6

Author(s):

Kitsuchart Pasupa ◽

Supawit Vatathanavaro ◽

Suchat Tungjitnob

Keyword(s):

Neural Networks ◽

Red Blood Cells ◽

Convolutional Neural Networks ◽

Blood Cells ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Imbalance Problem

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FaceColor: A Face Beauty Recogonition Model Based on Convolutional Neural Networks

2019 6th International Conference on Information Science and Control Engineering (ICISCE) ◽

10.1109/icisce48695.2019.00064 ◽

2019 ◽

Author(s):

Xiaoyong Lin ◽

Hui Sun ◽

Mingjie Liu ◽

Jie Ma ◽

Wenyuan Shao ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Model Based

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