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References from Attention pyramid pooling network for artificial diagnosis on pulmonary nodules. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2021
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One-off low-dose CT for lung cancer screening in China: A multicentre, population-based, prospective cohort study
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Development, validation, and comparison of image-based, clinical feature-based and fusion artificial intelligence diagnostic models in differentiating benign and malignant pulmonary ground-glass nodules
10.3389/fonc.2022.892890 · 2022 · External reference
Reduced lung-cancer mortality with low-dose computed tomographic screening
10.1056/nejmoa1102873 · 2011 · External reference
Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification
10.1016/j.patcog.2016.05.029 · 2017 · External reference
Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT
10.1148/radiol.2021204433 · 2021 · External reference
Lung cancer mortality reduction by LDCT screening-Results from the randomized German LUSI trial
10.1002/ijc.32486 · 2020 · External reference
Evaluate the malignancy of pulmonary nodules using the 3-D deep leaky noisy-OR network
10.1109/tnnls.2019.2892409 · 2019 · External reference
Lung cancer detection and classification with DGMM-RBCNN technique
10.1007/s00521-021-06182-5 · 2021 · External reference
A diagnostic classification of lung nodules using multiple-scale residual network
10.1038/s41598-023-38350-z · 2023 · External reference
Self-supervised transfer learning framework driven by visual attention for benign–malignant lung nodule classification on chest CT
10.1016/j.eswa.2022.119339 · 2023 · External reference
3D SAACNet with GBM for the classification of benign and malignant lung nodules
10.1016/j.compbiomed.2022.106532 · 2023 · External reference
The performance of deep learning algorithms on automatic pulmonary nodule detection and classification tested on different datasets that are not derived from LIDC-IDRI: A systematic review
10.3390/diagnostics9040207 · 2019 · External reference
Classification of lung nodules based on the DCA-Xception network
2022 · External reference
A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules
10.1378/chest.06-1261 · 2007 · External reference
Evidence for the treatment of patients with pulmonary nodules: When is it lung cancer?
10.1378/chest.07-1352 · 2007 · External reference
Lung nodule detection in chest CT images based on vision transformer network with Bayesian optimization
10.1016/j.bspc.2023.104866 · 2023 · External reference
Effect of a deep learning framework-based computer-aided diagnosis system on the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasonography
10.3348/kjr.2018.0530 · 2019 · External reference
A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist
10.1097/md.0000000000014146 · 2019 · External reference
Classification of lung nodule malignancy risk on computed tomography images using convolutional neural network: A comparison between 2D and 3D strategies
2017 · External reference
A holistic deep learning approach for identification and classification of sub-solid lung nodules in computed tomographic scans
10.1016/j.compeleceng.2020.106626 · 2020 · External reference
Early detection and classification of malignant lung nodules from CT images: An optimal ensemble learning
10.1016/j.eswa.2023.120361 · 2023 · External reference
A novel deep learning approach for the detection and classification of lung nodules from ct images
10.1007/s11042-023-15416-8 · 2023 · External reference
NROI based feature learning for automated tumor stage classification of pulmonary lung nodules using deep convolutional neural networks
10.1016/j.jksuci.2019.11.013 · 2022 · External reference
A bilinear convolutional neural network for lung nodules classification on CT images
10.1007/s11548-020-02283-z · 2021 · External reference
A Hybrid deep learning model for effective segmentation and classification of lung nodules from CT images
10.3233/jifs-212189 · 2021 · External reference
Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs
10.1148/radiol.2018180237 · 2019 · External reference
Unresolved reference
External reference
Unresolved reference
2017 · External reference
Multi-scale convolutional neural networks for lung nodule classification
2015 · External reference
A fully-automated system for identification and classification of subsolid nodules in lung computed tomographic scans
10.1016/j.bspc.2019.101586 · 2019 · External reference
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques
10.1080/0952813x.2015.1020526 · 2015 · External reference
Improved siamese palmprint authentication using pre-trained VGG16-palmprint and element-wise absolute difference
10.32604/csse.2023.036567 · 2023 · External reference
Hand gesture intention-based identity recognition using various recognition strategies incorporated with VGG convolution neural network-extracted deep learning features
2021 · External reference
Enhanced individual characteristics normalized lightweight rice-VGG16 method for rice seed defect recognition
10.1007/s11042-022-13420-y · 2022 · External reference
Cascaded hierarchical atrous spatial pyramid pooling module for semantic segmentation
10.1016/j.patcog.2020.107622 · 2021 · External reference
Pyramid scene parsing network
2017 · External reference
Spatial pyramid pooling in deep convolutional networks for visual recognition
10.1109/tpami.2015.2389824 · 2014 · External reference
Convolution-deconvolution architecture with the pyramid pooling module for semantic segmentation
10.1007/s11042-019-07990-7 · 2019 · External reference
An efficient spatial-temporal model based on gated linear units for trajectory prediction
10.1016/j.neucom.2021.12.051 · 2022 · External reference
Agile convolutional neural network for pulmonary nodule classification using CT images
10.1007/s11548-017-1696-0 · 2018 · External reference
10.1109/cvpr.2016.90
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10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
