Cargando…

Transfer Learning-Based Multi-Scale Denoising Convolutional Neural Network for Prostate Cancer Detection

SIMPLE SUMMARY: To enhance the automatic diagnosis of the prostate cancer using machine learning algorithm, we modify the design of convolutional neural network to support multi-scale denoising of cancer images. Transfer learning is employed to leverage the detection accuracy of the prostate cancer...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chui, Kwok Tai, Gupta, Brij B., Chi, Hao Ran, Arya, Varsha, Alhalabi, Wadee, Ruiz, Miguel Torres, Shen, Chien-Wen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367349/ https://www.ncbi.nlm.nih.gov/pubmed/35954350 http://dx.doi.org/10.3390/cancers14153687

Ejemplares similares

An MRI Scans-Based Alzheimer’s Disease Detection via Convolutional Neural Network and Transfer Learning
por: Chui, Kwok Tai, et al.
Publicado: (2022)

Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning
por: Chui, Kwok Tai, et al.
Publicado: (2022)

A Novel Hybrid Convolutional Neural Network- and Gated Recurrent Unit-Based Paradigm for IoT Network Traffic Attack Detection in Smart Cities
por: Gupta , Brij B., et al.
Publicado: (2023)

Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
por: Zhang, Shuo, et al.
Publicado: (2023)

Method for Quantum Denoisers Using Convolutional Neural Network
por: Kim, Bong-Hyun, et al.
Publicado: (2022)

Multi-View Image Denoising Using Convolutional Neural Network
por: Zhou, Shiwei, et al.
Publicado: (2019)

Retracted: Method for Quantum Denoisers Using Convolutional Neural Network
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
por: Jung, Yuyeon, et al.
Publicado: (2022)

Multi-Channel Fetal ECG Denoising With Deep Convolutional Neural Networks
por: Fotiadou, Eleni, et al.
Publicado: (2020)

Denoising diffusion weighted imaging data using convolutional neural networks
por: Cheng, Hu, et al.
Publicado: (2022)

Denoising of BOTDR Dynamic Strain Measurement Using Convolutional Neural Networks
por: Li, Bo, et al.
Publicado: (2023)

Denoising genome-wide histone ChIP-seq with convolutional neural networks
por: Koh, Pang Wei, et al.
Publicado: (2017)

A Quantized Convolutional Neural Network Implemented With Memristor for Image Denoising and Recognition
por: Zhang, Yuejun, et al.
Publicado: (2021)

Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
por: Jung, Yuyeon, et al.
Publicado: (2023)

Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
por: Wang, Yuyang, et al.
Publicado: (2023)

Denoising Convolutional Networks to Accelerate Detector Simulation
por: Banerjee, Sunanda, et al.
Publicado: (2021)

Denoising Convolutional Networks to Accelerate Detector Simulation
por: Banerjee, Sunanda, et al.
Publicado: (2022)

Sparse Convolutional Denoising Autoencoders for Genotype Imputation
por: Chen, Junjie, et al.
Publicado: (2019)

A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural Network
por: Safdar, Muhammad Farhan, et al.
Publicado: (2022)

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder
por: Wang, Changmiao, et al.
Publicado: (2018)

Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network
por: Hong, Jia-Sheng, et al.
Publicado: (2022)

Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
por: Usui, Keisuke, et al.
Publicado: (2021)

Deep Convolutional Generative Adversarial Network with LSTM for ECG Denoising
por: Wang, Huidong, et al.
Publicado: (2023)

Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images
por: Sugai, Taro, et al.
Publicado: (2021)

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model
por: Mei, Shuang, et al.
Publicado: (2018)

Convolutional auto-encoder for image denoising of ultra-low-dose CT
por: Nishio, Mizuho, et al.
Publicado: (2017)

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
por: Solovyeva, Elena, et al.
Publicado: (2022)

Preeminently Robust Neural PPG Denoiser
por: Kwon, Ju Hyeok, et al.
Publicado: (2022)

Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra †
por: Barton, Sinead, et al.
Publicado: (2021)

Efficient learning representation of noise-reduced foam effects with convolutional denoising networks
por: Kim, Jong-Hyun, et al.
Publicado: (2022)

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform
por: Chui, Kwok Tai, et al.
Publicado: (2021)

Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks
por: Pawlicki, Marek, et al.
Publicado: (2021)

Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
por: Moldovan, Adrian, et al.
Publicado: (2021)

Development of a denoising convolutional neural network-based algorithm for metal artifact reduction in digital tomosynthesis for arthroplasty: A phantom study
por: Gomi, Tsutomu, et al.
Publicado: (2019)

A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network
por: Ashraf, Murtaza, et al.
Publicado: (2022)

Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction
por: Wu, Liang, et al.
Publicado: (2021)

Denoising of Optics Measurements Using Autoencoder Neural Networks
por: Fol, Elena, et al.
Publicado: (2021)

Signal denoising through topographic modularity of neural circuits
por: Zajzon, Barna, et al.
Publicado: (2023)

Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement
por: Coto-Jiménez, Marvin
Publicado: (2020)

Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning
por: Chen, Yao-Mei, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6cj67j5tsi04k2eftglvqnskao