Cargando…

LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification

Objective: The only possible solution to increase the patients’ fatality rate is lung cancer early-stage detection. Recently, deep learning techniques became the most promising methods in medical image analysis compared with other numerous computer-aided diagnostic techniques. However, deep learning...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ren, Zeyu, Zhang, Yudong, Wang, Shuihua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Novel Applications of Artificial Intelligence in Cancer Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511553/ https://www.ncbi.nlm.nih.gov/pubmed/36148908 http://dx.doi.org/10.1177/15330338221124372

Ejemplares similares

Novel Applications of Artificial Intelligence in Cancer Research
por: Tsuneki, Masayuki, et al.
Publicado: (2023)

Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022)

Improving plant disease classification by adaptive minimal ensembling
por: Bruno, Antonio, et al.
Publicado: (2022)

Data augmentation and deep neural networks for the classification of Pakistani racial speakers recognition
por: Amjad, Ammar, et al.
Publicado: (2022)

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
por: Bakasa, Wilson, et al.
Publicado: (2023)

Image classification adversarial attack with improved resizing transformation and ensemble models
por: Li, Chenwei, et al.
Publicado: (2023)

Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images
por: Tsuneki, Masayuki, et al.
Publicado: (2022)

Distribution-preserving data augmentation
por: Saran, Nurdan Ayse, et al.
Publicado: (2021)

Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis
por: Duwairi, Rehab, et al.
Publicado: (2021)

Predicting Rectal Cancer Response to Total Neoadjuvant Treatment Using an Artificial Intelligence Model Based on Magnetic Resonance Imaging and Clinical Data
por: Ouyang, Ganlu, et al.
Publicado: (2023)

Classification of user queries according to a hierarchical medical procedure encoding system using an ensemble classifier
por: Deng, Yihan, et al.
Publicado: (2022)

EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification
por: Sobti, Priyal, et al.
Publicado: (2021)

Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor
por: Zhang, Xiangyu, et al.
Publicado: (2022)

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry
por: Fakhar Bilal, Syed, et al.
Publicado: (2022)

A Hybrid Framework for Lung Cancer Classification
por: Ren, Zeyu, et al.
Publicado: (2022)

Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data
por: Hernández, Carlos S., et al.
Publicado: (2022)

CapPlant: a capsule network based framework for plant disease classification
por: Samin, Omar Bin, et al.
Publicado: (2021)

A Transfer Learning–Based Active Learning Framework for Brain Tumor Classification
por: Hao, Ruqian, et al.
Publicado: (2021)

Direct Dose Prediction With Deep Learning for Postoperative Cervical Cancer Underwent Volumetric Modulated Arc Therapy
por: Yu, Wenliang, et al.
Publicado: (2023)

Data augmentation based malware detection using convolutional neural networks
por: Catak, Ferhat Ozgur, et al.
Publicado: (2021)

A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography
por: Zang, Pengxiao, et al.
Publicado: (2022)

Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition
por: Eltay, Mohamed, et al.
Publicado: (2022)

A Genetic Folding Strategy Based Support Vector Machine to Optimize Lung Cancer Classification
por: Mezher, Mohammad A., et al.
Publicado: (2022)

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
por: Kanász, Róbert, et al.
Publicado: (2023)

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files
por: Huang, Ying, et al.
Publicado: (2022)

Utilizing the TractSeg Tool for Automatic Corticospinal Tract Segmentation in Patients With Brain Pathology
por: Moshe, Yael H., et al.
Publicado: (2022)

The Application of Morphogo in the Detection of Megakaryocytes from Bone Marrow Digital Images with Convolutional Neural Networks
por: Wang, Xiaofen, et al.
Publicado: (2023)

Machine Learning-Based Quality Assurance for Automatic Segmentation of Head-and-Neck Organs-at-Risk in Radiotherapy
por: Luan, Shunyao, et al.
Publicado: (2023)

ReRNet: A Deep Learning Network for Classifying Blood Cells
por: Zhu, Ziquan, et al.
Publicado: (2023)

Comparison Between Manual and Automated Assessment of Ki-67 in Breast Carcinoma: Test of a Simple Method in Daily Practice
por: Catteau, Xavier, et al.
Publicado: (2023)

Self-optimizing neural network in the classification of real valued data
por: Miniak-Górecka, Alicja, et al.
Publicado: (2022)

A novel method for credit scoring based on feature transformation and ensemble model
por: Li, Hongxiang, et al.
Publicado: (2021)

Convolutional neural network-based ensemble methods to recognize Bangla handwritten character
por: Shibly, Mir Moynuddin Ahmed, et al.
Publicado: (2021)

COVID-19 mortality prediction using ensemble learning and grey wolf optimization
por: Lou, Lihua, et al.
Publicado: (2023)

Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system
por: Mokbal, Fawaz Mahiuob Mohammed, et al.
Publicado: (2020)

Error driven synapse augmented neurogenesis
por: Perrett, Adam, et al.
Publicado: (2022)

Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems
por: Abbas, Qaiser, et al.
Publicado: (2023)

Stock price movement prediction based on Stocktwits investor sentiment using FinBERT and ensemble SVM
por: Liu, Jin-Xian, et al.
Publicado: (2023)

OES-Fed: a federated learning framework in vehicular network based on noise data filtering
por: Lei, Yuan, et al.
Publicado: (2022)

Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
por: Yenkikar, Anuradha, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_sau31utht5g2jihnopfb4getcg