125 related articles for article (PubMed ID: 35172253)
1. Analysis of high-resolution reconstruction of medical images based on deep convolutional neural networks in lung cancer diagnostics.
Bai Y; Li D; Duan Q; Chen X
Comput Methods Programs Biomed; 2022 Apr; 217():106592. PubMed ID: 35172253
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer.
Park S; Lee SM; Do KH; Lee JG; Bae W; Park H; Jung KH; Seo JB
Korean J Radiol; 2019 Oct; 20(10):1431-1440. PubMed ID: 31544368
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A 2D-3D hybrid convolutional neural network for lung lobe auto-segmentation on standard slice thickness computed tomography of patients receiving radiotherapy.
Gu H; Gan W; Zhang C; Feng A; Wang H; Huang Y; Chen H; Shao Y; Duan Y; Xu Z
Biomed Eng Online; 2021 Sep; 20(1):94. PubMed ID: 34556141
[TBL] [Abstract][Full Text] [Related]
5. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
[TBL] [Abstract][Full Text] [Related]
6. Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network.
Hu R; Wang H; Ristaniemi T; Zhu W; Sun X
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1368-1371. PubMed ID: 33018243
[TBL] [Abstract][Full Text] [Related]
7. [A preliminary investigation on a deep learning convolutional neural networks based pulmonary tuberculosis CT diagnostic model].
Wu SC; Wang XJ; Ji JY; Geng G; Zhang ZH; Hou DL
Zhonghua Jie He He Hu Xi Za Zhi; 2021 May; 44(5):450-455. PubMed ID: 34865365
[No Abstract] [Full Text] [Related]
8.
Sibille L; Seifert R; Avramovic N; Vehren T; Spottiswoode B; Zuehlsdorff S; Schäfers M
Radiology; 2020 Feb; 294(2):445-452. PubMed ID: 31821122
[TBL] [Abstract][Full Text] [Related]
9. Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.
Lyu J; Ling SH
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():686-689. PubMed ID: 30440489
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].
Yang SJ; Lu Y; Zheng XF; Zhang YJ; Xin FJ; Sun P; Li Y; Liu SS; Li S; Guo YT; Liu SL
Zhonghua Wai Ke Za Zhi; 2020 Jul; 58(7):520-524. PubMed ID: 32610422
[No Abstract] [Full Text] [Related]
12. Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques.
Musthafa MM; Manimozhi I; Mahesh TR; Guluwadi S
BMC Med Inform Decis Mak; 2024 May; 24(1):142. PubMed ID: 38802836
[TBL] [Abstract][Full Text] [Related]
13. Magnetic Resonance Imaging Feature Analysis and Evaluation of Tubal Patency under Convolutional Neural Network in the Diagnosis of Infertility.
Liu N; Ren Q
Contrast Media Mol Imaging; 2021; 2021():5175072. PubMed ID: 34629993
[TBL] [Abstract][Full Text] [Related]
14. Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.
Gong H; Ren L; Hsieh SS; McCollough CH; Yu L
Med Phys; 2021 Oct; 48(10):5712-5726. PubMed ID: 34415068
[TBL] [Abstract][Full Text] [Related]
15. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
[TBL] [Abstract][Full Text] [Related]
16. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
[TBL] [Abstract][Full Text] [Related]
17. Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
Huang X; Sun W; Tseng TB; Li C; Qian W
Comput Med Imaging Graph; 2019 Jun; 74():25-36. PubMed ID: 30954678
[TBL] [Abstract][Full Text] [Related]
18. The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.
Omigbodun AO; Noo F; McNitt-Gray M; Hsu W; Hsieh SS
Med Phys; 2019 Oct; 46(10):4563-4574. PubMed ID: 31396974
[TBL] [Abstract][Full Text] [Related]
19. Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.
Umehara K; Ota J; Ishida T
J Digit Imaging; 2018 Aug; 31(4):441-450. PubMed ID: 29047035
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
