Cargando…

Development and clinical application of deep learning model for lung nodules screening on CT images

Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effectiveness and ease of performance. Radiologists who evaluate a large LDCT screening images face enormous challenges, including mechanical repetition and boring work, the easy omission of small nodules, l...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cui, Sijia, Ming, Shuai, Lin, Yi, Chen, Fanghong, Shen, Qiang, Li, Hui, Chen, Gen, Gong, Xiangyang, Wang, Haochu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423892/ https://www.ncbi.nlm.nih.gov/pubmed/32788705 http://dx.doi.org/10.1038/s41598-020-70629-3

Ejemplares similares

Early Warning Information for Severe and Critical Patients With COVID-19 Based on Quantitative CT Analysis of Lung Segments
por: Yuyun, Xu, et al.
Publicado: (2021)

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

Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening
por: Du, Yihui, et al.
Publicado: (2023)

Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation
por: Zhou, Chengwei, 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)

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
por: Hendrix, Ward, et al.
Publicado: (2023)

Towards automatic pulmonary nodule management in lung cancer screening with deep learning
por: Ciompi, Francesco, et al.
Publicado: (2017)

Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images
por: Liao, Ri-qiang, et al.
Publicado: (2022)

Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning
por: Liang, Fukui, et al.
Publicado: (2021)

Corrigendum: Towards automatic pulmonary nodule management in lung cancer screening with deep learning
por: Ciompi, F., et al.
Publicado: (2017)

Perifissural nodules: ready for application into lung cancer CT screening?
por: Schreuder, Anton, et al.
Publicado: (2020)

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

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)

Retracted: Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning
por: Healthcare Engineering, Journal of
Publicado: (2023)

A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development
por: Cui, Sijia, et al.
Publicado: (2022)

Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning
por: Shen, Tianle, et al.
Publicado: (2021)

Lung Nodule Detection via Deep Reinforcement Learning
por: Ali, Issa, et al.
Publicado: (2018)

Design of lung nodules segmentation and recognition algorithm based on deep learning
por: Yu, Hui, et al.
Publicado: (2021)

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

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans
por: Cheng, Jie-Zhi, et al.
Publicado: (2016)

Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
por: Xia, Xianwu, et al.
Publicado: (2020)

NEEDLE IN A HAYSTACK: OPPORTUNISTIC SCREENING OF LUNG NODULES AMIDST COVID-19 USING DEEP LEARNING
por: CHALLA, VIKASH, et al.
Publicado: (2022)

A bi-directional deep learning architecture for lung nodule semantic segmentation
por: Bhattacharyya, Debnath, et al.
Publicado: (2022)

Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets
por: Wang, Jingxuan, et al.
Publicado: (2023)

Performance of Deep-Learning Solutions on Lung Nodule Malignancy Classification: A Systematic Review
por: Liang, Hailun, et al.
Publicado: (2023)

Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans
por: Mu, Junhao, et al.
Publicado: (2023)

Predicting the invasiveness of lung adenocarcinomas appearing as ground-glass nodule on CT scan using multi-task learning and deep radiomics
por: Wang, Xiang, et al.
Publicado: (2020)

Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT
por: Yoon, Hyun Jung, et al.
Publicado: (2022)

How Many Private Data Are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study
por: Son, Jeong Woo, et al.
Publicado: (2022)

Leveraging deep learning to identify calcification and colloid in thyroid nodules
por: Chen, Chen, et al.
Publicado: (2023)

Quantifying the incremental value of deep learning: Application to lung nodule detection
por: Warsavage, Theodore, et al.
Publicado: (2020)

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning
por: Wu, Panpan, et al.
Publicado: (2020)

An attention-based deep learning network for lung nodule malignancy discrimination
por: Liu, Gang, et al.
Publicado: (2023)

Agreement of diameter- and volume-based pulmonary nodule management in CT lung cancer screening
por: Heuvelmans, MA, et al.
Publicado: (2014)

The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images
por: Zhang, Rui, et al.
Publicado: (2022)

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT
por: Hempel, H.L., et al.
Publicado: (2022)

Discriminating TB lung nodules from early lung cancers using deep learning
por: Tan, Heng, et al.
Publicado: (2022)

Deep Learning in CT Images: Automated Pulmonary Nodule Detection for Subsequent Management Using Convolutional Neural Network
por: Xu, Yi-Ming, et al.
Publicado: (2020)

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules
por: Wang, Shuwen, et al.
Publicado: (2022)

Pulmonary nodules and CT screening: the past, present and future
por: Ruparel, M, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_gae2f1re7rlfp15b6hqi5587bo