181 related articles for article (PubMed ID: 35293240)
1. Recognition of Peripheral Lung Cancer and Focal Pneumonia on Chest Computed Tomography Images Based on Convolutional Neural Network.
Cheng X; Wen H; You H; Hua L; Xiaohua W; Qiuting C; Jiabao L
Technol Cancer Res Treat; 2022; 21():15330338221085375. PubMed ID: 35293240
[No Abstract] [Full Text] [Related]
2. Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model.
Chetan MR; Dowson N; Price NW; Ather S; Nicolson A; Gleeson FV
Eur Radiol; 2022 Aug; 32(8):5330-5338. PubMed ID: 35238972
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia.
Han D; Chen Y; Li X; Li W; Zhang X; He T; Yu Y; Dou Y; Duan H; Yu N
Radiol Med; 2023 Jan; 128(1):68-80. PubMed ID: 36574111
[TBL] [Abstract][Full Text] [Related]
4. Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Heidari M; Mirniaharikandehei S; Khuzani AZ; Danala G; Qiu Y; Zheng B
Int J Med Inform; 2020 Dec; 144():104284. PubMed ID: 32992136
[TBL] [Abstract][Full Text] [Related]
5. A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images.
Sadik F; Dastider AG; Subah MR; Mahmud T; Fattah SA
Comput Biol Med; 2022 Oct; 149():105806. PubMed ID: 35994932
[TBL] [Abstract][Full Text] [Related]
6. Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.
Jiang B; Zhang Y; Zhang L; H de Bock G; Vliegenthart R; Xie X
Eur Radiol; 2021 Oct; 31(10):7303-7315. PubMed ID: 33847813
[TBL] [Abstract][Full Text] [Related]
7. High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.
Zhang T; Wang Y; Sun Y; Yuan M; Zhong Y; Li H; Yu T; Wang J
Eur J Radiol; 2021 Aug; 141():109810. PubMed ID: 34102564
[TBL] [Abstract][Full Text] [Related]
8. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
[TBL] [Abstract][Full Text] [Related]
9. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
Ohno Y; Aoyagi K; Yaguchi A; Seki S; Ueno Y; Kishida Y; Takenaka D; Yoshikawa T
Radiology; 2020 Aug; 296(2):432-443. PubMed ID: 32452736
[TBL] [Abstract][Full Text] [Related]
10. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
11. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
Albahli S; Yar GNAH
J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
[TBL] [Abstract][Full Text] [Related]
12. Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model.
Ali S; Hussain A; Bhattacharjee S; Athar A; Abdullah ; Kim HC
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560352
[TBL] [Abstract][Full Text] [Related]
13. Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.
Singh D; Kumar V; Vaishali ; Kaur M
Eur J Clin Microbiol Infect Dis; 2020 Jul; 39(7):1379-1389. PubMed ID: 32337662
[TBL] [Abstract][Full Text] [Related]
14. Automatic detection and classification of rib fractures based on patients' CT images and clinical information via convolutional neural network.
Zhou QQ; Tang W; Wang J; Hu ZC; Xia ZY; Zhang R; Fan X; Yong W; Yin X; Zhang B; Zhang H
Eur Radiol; 2021 Jun; 31(6):3815-3825. PubMed ID: 33201278
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence for assistance of radiology residents in chest CT evaluation for COVID-19 pneumonia: a comparative diagnostic accuracy study.
Mlynska L; Malouhi A; Ingwersen M; Güttler F; Gräger S; Teichgräber U
Acta Radiol; 2023 Jun; 64(6):2104-2110. PubMed ID: 36890698
[TBL] [Abstract][Full Text] [Related]
16. Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.
Toda R; Teramoto A; Tsujimoto M; Toyama H; Imaizumi K; Saito K; Fujita H
Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):241-251. PubMed ID: 33428062
[TBL] [Abstract][Full Text] [Related]
17. COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation.
Ko H; Chung H; Kang WS; Kim KW; Shin Y; Kang SJ; Lee JH; Kim YJ; Kim NY; Jung H; Lee J
J Med Internet Res; 2020 Jun; 22(6):e19569. PubMed ID: 32568730
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
19. 3D multi-view convolutional neural networks for lung nodule classification.
Kang G; Liu K; Hou B; Zhang N
PLoS One; 2017; 12(11):e0188290. PubMed ID: 29145492
[TBL] [Abstract][Full Text] [Related]
20. Agile convolutional neural network for pulmonary nodule classification using CT images.
Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]