83 related articles for article (PubMed ID: 36574111)
1. 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]
2. Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network.
Su R; Song J; Wang Z; Mao S; Mao Y; Wu X; Hou M
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1037-1048. PubMed ID: 36097771
[TBL] [Abstract][Full Text] [Related]
3. Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease.
Lancaster AC; Cardin ME; Nguyen JA; Mehta TI; Oncel D; Bai HX; Cohen KA; Lin CT
J Thorac Imaging; 2024 May; 39(3):194-199. PubMed ID: 38640144
[TBL] [Abstract][Full Text] [Related]
4. Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.
Jendeberg J; Thunberg P; Lidén M
Urolithiasis; 2021 Feb; 49(1):41-49. PubMed ID: 32107579
[TBL] [Abstract][Full Text] [Related]
5. A Multichannel CT and Radiomics-Guided CNN-ViT (RadCT-CNNViT) Ensemble Network for Diagnosis of Pulmonary Sarcoidosis.
Qiu J; Mitra J; Ghose S; Dumas C; Yang J; Sarachan B; Judson MA
Diagnostics (Basel); 2024 May; 14(10):. PubMed ID: 38786347
[TBL] [Abstract][Full Text] [Related]
6. 3D Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CT.
Hamidian S; Sahiner B; Petrick N; Pezeshk A
Proc SPIE Int Soc Opt Eng; 2017; 10134():. PubMed ID: 28845077
[TBL] [Abstract][Full Text] [Related]
7. 2D CNN versus 3D CNN for false-positive reduction in lung cancer screening.
Yu J; Yang B; Wang J; Leader J; Wilson D; Pu J
J Med Imaging (Bellingham); 2020 Sep; 7(5):051202. PubMed ID: 33062802
[No Abstract] [Full Text] [Related]
8. Automated abnormality classification of chest radiographs using deep convolutional neural networks.
Tang YX; Tang YB; Peng Y; Yan K; Bagheri M; Redd BA; Brandon CJ; Lu Z; Han M; Xiao J; Summers RM
NPJ Digit Med; 2020; 3():70. PubMed ID: 32435698
[TBL] [Abstract][Full Text] [Related]
9. Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks.
Ye RZ; Lipatov K; Diedrich D; Bhattacharyya A; Erickson BJ; Pickering BW; Herasevich V
J Crit Care; 2024 Aug; 82():154794. PubMed ID: 38552452
[TBL] [Abstract][Full Text] [Related]
10. Diagnosis of pulmonary tuberculosis with 3D neural network based on multi-scale attention mechanism.
Zhang S; He C; Wan Z; Shi N; Wang B; Liu X; Hou D
Med Biol Eng Comput; 2024 May; 62(5):1589-1600. PubMed ID: 38319503
[TBL] [Abstract][Full Text] [Related]
11. Hybrid deep learning for detecting lung diseases from X-ray images.
Bharati S; Podder P; Mondal MRH
Inform Med Unlocked; 2020; 20():100391. PubMed ID: 32835077
[TBL] [Abstract][Full Text] [Related]
12. 3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography.
Tan J; Gao Y; Liang Z; Cao W; Pomeroy MJ; Huo Y; Li L; Barish MA; Abbasi AF; Pickhardt PJ
IEEE Trans Med Imaging; 2020 Jun; 39(6):2013-2024. PubMed ID: 31899419
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence-based diagnosis of standard endoscopic ultrasonography scanning sites in the biliopancreatic system: a multicenter retrospective study.
Tian S; Shi H; Chen W; Li S; Han C; Du F; Wang W; Wen H; Lei Y; Deng L; Tang J; Zhang J; Lin J; Shi L; Ning B; Zhao K; Miao J; Wang G; Hou H; Huang X; Kong W; Jin X; Ding Z; Lin R
Int J Surg; 2024 Mar; 110(3):1637-1644. PubMed ID: 38079604
[TBL] [Abstract][Full Text] [Related]
14. Identifying the histologic subtypes of non-small cell lung cancer with computed tomography imaging: a comparative study of capsule net, convolutional neural network, and radiomics.
Liu H; Jiao Z; Han W; Jing B
Quant Imaging Med Surg; 2021 Jun; 11(6):2756-2765. PubMed ID: 34079739
[TBL] [Abstract][Full Text] [Related]
15. Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans.
Yan T; Wong PK; Ren H; Wang H; Wang J; Li Y
Chaos Solitons Fractals; 2020 Nov; 140():110153. PubMed ID: 32834641
[TBL] [Abstract][Full Text] [Related]
16. Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning.
Gao Y; Zhang Y; Hu C; He P; Fu J; Lin F; Liu K; Fu X; Liu R; Sun J; Chen F; Yang W; Zhou Y
Front Public Health; 2023; 11():1247141. PubMed ID: 38089031
[TBL] [Abstract][Full Text] [Related]
17. Compare deep learning model and conventional logistic regression model for the identification of unstable saccular intracranial aneurysms in computed tomography angiography.
Zeng L; Zhao XY; Wen L; Jing Y; Xu JX; Huang CC; Zhang D; Wang GX
Quant Imaging Med Surg; 2024 Apr; 14(4):2993-3005. PubMed ID: 38617165
[TBL] [Abstract][Full Text] [Related]
18. PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.
Wang SH; Zhang Y; Cheng X; Zhang X; Zhang YD
Comput Math Methods Med; 2021; 2021():6633755. PubMed ID: 33777167
[TBL] [Abstract][Full Text] [Related]
19. Radiographic chest wall abnormalities in primary spontaneous pneumothorax identified by artificial intelligence.
Chiu MC; Tsai SC; Bai ZR; Lin A; Chang CC; Wang GZ; Lin FC
Heliyon; 2024 May; 10(9):e30023. PubMed ID: 38726131
[TBL] [Abstract][Full Text] [Related]
20. Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images.
Wong A; Lu J; Dorfman A; McInnis P; Famouri M; Manary D; Lee JRH; Lynch M
Front Artif Intell; 2021; 4():764047. PubMed ID: 34805974
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]