Cargando…

An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images

Lung cancer is one of the most deadly diseases around the world representing about 26% of all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent diagnosis and treatment. Before diagnosis, lung nodule classification is a key step, especially since automatic classifi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Xinqi, Mao, Keming, Wang, Lizhe, Yang, Peiyi, Lu, Duo, He, Ping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338921/ https://www.ncbi.nlm.nih.gov/pubmed/30621101 http://dx.doi.org/10.3390/s19010194

Ejemplares similares

Lung Nodule Image Classification Based on Local Difference Pattern and Combined Classifier
por: Mao, Keming, et al.
Publicado: (2016)

A novel fusion algorithm for benign-malignant lung nodule classification on CT images
por: Ma, Ling, et al.
Publicado: (2023)

Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN
por: Li, Wenjun, et al.
Publicado: (2021)

Accurate classification of lung nodules on CT images using the TransUnet
por: Wang, Hongfeng, et al.
Publicado: (2022)

Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification
por: Sourlos, Nikos, et al.
Publicado: (2022)

Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm
por: Zhao, Binsheng, et al.
Publicado: (2003)

A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images
por: Wang, Lu, et al.
Publicado: (2023)

Classification and Segmentation Algorithm in Benign and Malignant Pulmonary Nodules under Different CT Reconstruction
por: Lu, Zhiqian, et al.
Publicado: (2022)

VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms
por: Zhao, Tongtong, et al.
Publicado: (2023)

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm
por: Mohamed, Tehnan I. A., et al.
Publicado: (2023)

Automatic Classification of Normal and Cancer Lung CT Images Using Multiscale AM-FM Features
por: Magdy, Eman, et al.
Publicado: (2015)

An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques
por: Gugulothu, Vijay Kumar, et al.
Publicado: (2023)

A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans
por: Wang, Xiyue, et al.
Publicado: (2021)

Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction
por: Wang, Jinke, et al.
Publicado: (2016)

Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans
por: El-Baz, Ayman, et al.
Publicado: (2013)

A classification of pulmonary nodules by CT scan
por: Bellomi, M
Publicado: (2012)

An Appraisal of Incremental Learning Methods
por: Luo, Yong, et al.
Publicado: (2020)

Anatomy packing with hierarchical segments: an algorithm for segmentation of pulmonary nodules in CT images
por: Tsou, Chi-Hsuan, et al.
Publicado: (2015)

Lung Lesion Detection in CT Scan Images Using the Fuzzy Local Information Cluster Means (FLICM) Automatic Segmentation Algorithm and Back Propagation Network Classification
por: Lavanya, M, et al.
Publicado: (2017)

ACCV: automatic classification algorithm of cataract video based on deep learning
por: Hu, Shenming, et al.
Publicado: (2021)

Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features
por: Lima, Thiago, et al.
Publicado: (2023)

Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
por: Farhan, Abobaker Mohammed Qasem, et al.
Publicado: (2023)

CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction
por: Li, Xiaohu, et al.
Publicado: (2020)

Automatic modulation classification: principles, algorithms and applications
por: Zhu, Zhechen, et al.
Publicado: (2014)

Development of an algorithm to automatically compress a CT image to visually lossless threshold
por: Nam, Chang-Mo, et al.
Publicado: (2018)

Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm
por: Shivahare, Basu Dev, et al.
Publicado: (2022)

Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network
por: Tu, Xiaoguang, et al.
Publicado: (2017)

An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images
por: Wang, Liansheng, et al.
Publicado: (2016)

Lung nodule pre-diagnosis and insertion path planning for chest CT images
por: Xie, Rong-Li, et al.
Publicado: (2023)

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics
por: Zaffino, Paolo, et al.
Publicado: (2021)

Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's
por: Cherezov, Dmitry, et al.
Publicado: (2020)

Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning
por: Holbrook, Matthew D., et al.
Publicado: (2021)

Radiomic features analysis in computed tomography images of lung nodule classification
por: Chen, Chia-Hung, et al.
Publicado: (2018)

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images
por: Song, QingZeng, et al.
Publicado: (2017)

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images
por: Wang, Yifan, et al.
Publicado: (2022)

An Automatic Random Walker Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules
por: Li, Xiangxia, et al.
Publicado: (2022)

Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model
por: Guo, Yu, et al.
Publicado: (2014)

Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms
por: Marinelli, Martina, et al.
Publicado: (2012)

Retracted: Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm
por: Healthcare Engineering, Journal of
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_7r7c7de8dcp04eup7q2vk5qavu