Cargando…

Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder

PURPOSE: Several commercial tests have been used for the classification of indeterminate thyroid nodules in cytology. However, the geographic inconvenience and high cost confine their widespread use. This study aims to develop a classifier for conveniently clinical utility. METHODS: Gene expression...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Zexin, Yang, Kaiji, Zhang, Lili, Wei, Chiju, Yang, Peixuan, Xu, Wencan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787836/ https://www.ncbi.nlm.nih.gov/pubmed/33488708 http://dx.doi.org/10.1155/2020/9015713

Ejemplares similares

The association of uric acid with the development of thyroid nodules: a retrospective cohort study
por: Huang, Yingshi, et al.
Publicado: (2022)

The Effect of Inflammation on the Formation of Thyroid Nodules
por: Li, Zexin, et al.
Publicado: (2020)

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

Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model
por: Fakieh, Bahjat, et al.
Publicado: (2022)

SARS-CoV-2 virus classification based on stacked sparse autoencoder
por: Coutinho, Maria G.F., et al.
Publicado: (2022)

An Adaptive EEG Feature Extraction Method Based on Stacked Denoising Autoencoder for Mental Fatigue Connectivity
por: Yu, Zhongliang, et al.
Publicado: (2021)

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder
por: Xu, Xiaowei, et al.
Publicado: (2021)

A Mechanism Exploration of Metabolic Syndrome Causing Nodular Thyroid Disease
por: Li, Zexin, et al.
Publicado: (2019)

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
por: Ni, Qin, et al.
Publicado: (2020)

Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder
por: Chen, Lili, et al.
Publicado: (2019)

A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM
por: Gao, Xile, et al.
Publicado: (2019)

Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-seq Data
por: Chi, Weilai, et al.
Publicado: (2020)

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network
por: Aslam, Muhammad Aqeel, et al.
Publicado: (2021)

An Improved Stacked Autoencoder for Metabolomic Data Classification
por: Fan, Xiaojing, et al.
Publicado: (2021)

Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition
por: Gu, Feng, et al.
Publicado: (2015)

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

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
por: Tsinalis, Orestis, et al.
Publicado: (2015)

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder
por: Wang, Shui-Hua, et al.
Publicado: (2021)

Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network
por: Pei, Guangsheng, et al.
Publicado: (2020)

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
por: Liu, Junxiu, et al.
Publicado: (2020)

Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders
por: Gu, Tongjun, et al.
Publicado: (2019)

Dual Residual Denoising Autoencoder with Channel Attention Mechanism for Modulation of Signals
por: Duan, Ruifeng, et al.
Publicado: (2023)

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

Author Correction: Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders
por: Gu, Tongjun, et al.
Publicado: (2019)

A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks
por: Lai, Jie, et al.
Publicado: (2023)

Electrocardiograph signal denoising based on sparse decomposition
por: Zhu, Junjiang, et al.
Publicado: (2017)

Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
por: Wang, Qu, et al.
Publicado: (2019)

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

Rapid, Reference-Free human genotype imputation with denoising autoencoders
por: Dias, Raquel, et al.
Publicado: (2022)

Comparison of Training Strategies for Autoencoder-Based Monochromatic Image Denoising
por: Jóźwik-Wabik, Piotr, et al.
Publicado: (2023)

Denoising Vanilla Autoencoder for RGB and GS Images with Gaussian Noise
por: Miranda-González, Armando Adrián, et al.
Publicado: (2023)

Building Extraction Based on an Optimized Stacked Sparse Autoencoder of Structure and Training Samples Using LIDAR DSM and Optical Images
por: Yan, Yiming, et al.
Publicado: (2017)

Fast Sparse Coding for Range Data Denoising with Sparse Ridges Constraint
por: Gao, Zhi, et al.
Publicado: (2018)

Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network
por: Yan, Ting, et al.
Publicado: (2023)

Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals
por: Luo, Junhai, et al.
Publicado: (2022)

Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders
por: Jin, Weihua, et al.
Publicado: (2019)

Stacked Autoencoders for the P300 Component Detection
por: Vařeka, Lukáš, et al.
Publicado: (2017)

Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs
por: Chen, Yeou-Jiunn, et al.
Publicado: (2021)

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

A Novel Fault Diagnosis Method for Denoising Autoencoder Assisted by Digital Twin
por: Cai, Wenan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_hafc5g6i1ddnkth1aa060d01pc