160 related articles for article (PubMed ID: 36357609)
1. Comparison of convolutional neural networks for classification of vocal fold nodules from high-speed video images.
Larsen CF; Pedersen M
Eur Arch Otorhinolaryngol; 2023 May; 280(5):2365-2371. PubMed ID: 36357609
[TBL] [Abstract][Full Text] [Related]
2. Comparison of Convolutional Neural Network Models for Determination of Vocal Fold Normality in Laryngoscopic Images.
Cho WK; Choi SH
J Voice; 2022 Sep; 36(5):590-598. PubMed ID: 32873430
[TBL] [Abstract][Full Text] [Related]
3. Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.
Fehling MK; Grosch F; Schuster ME; Schick B; Lohscheller J
PLoS One; 2020; 15(2):e0227791. PubMed ID: 32040514
[TBL] [Abstract][Full Text] [Related]
4. A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.
Matava C; Pankiv E; Raisbeck S; Caldeira M; Alam F
J Med Syst; 2020 Jan; 44(2):44. PubMed ID: 31897740
[TBL] [Abstract][Full Text] [Related]
5. Support of deep learning to classify vocal fold images in flexible laryngoscopy.
Tran BA; Dao TTP; Dung HDQ; Van NB; Ha CC; Pham NH; Nguyen TCHTNC; Nguyen TC; Pham MK; Tran MK; Tran TM; Tran MT
Am J Otolaryngol; 2023; 44(3):103800. PubMed ID: 36905912
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Detection of Vocal Fold Image Obstructions in High-Speed Videoendoscopy During Connected Speech in Adductor Spasmodic Dysphonia: A Convolutional Neural Networks Approach.
Yousef AM; Deliyski DD; Zacharias SRC; Naghibolhosseini M
J Voice; 2022 Mar; ():. PubMed ID: 35304042
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Optical Biopsy: Automated Classification of Airway Endoscopic Findings Using a Convolutional Neural Network.
Dunham ME; Kong KA; McWhorter AJ; Adkins LK
Laryngoscope; 2022 Feb; 132 Suppl 4():S1-S8. PubMed ID: 32343434
[TBL] [Abstract][Full Text] [Related]
10. A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy.
Yousef AM; Deliyski DD; Zacharias SRC; de Alarcon A; Orlikoff RF; Naghibolhosseini M
J Speech Lang Hear Res; 2022 Jun; 65(6):2098-2113. PubMed ID: 35605603
[TBL] [Abstract][Full Text] [Related]
11. Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network.
Kong X; Yao Y; Wang C; Wang Y; Teng J; Qi X
Med Sci Monit; 2022 Jul; 28():e936409. PubMed ID: 35810326
[TBL] [Abstract][Full Text] [Related]
12. Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.
Voon W; Hum YC; Tee YK; Yap WS; Salim MIM; Tan TS; Mokayed H; Lai KW
Sci Rep; 2022 Nov; 12(1):19200. PubMed ID: 36357456
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural network-based vocal cord tumor classification technique for home-based self-prescreening purpose.
Kim GH; Hwang YJ; Lee H; Sung ES; Nam KW
Biomed Eng Online; 2023 Aug; 22(1):81. PubMed ID: 37596652
[TBL] [Abstract][Full Text] [Related]
14. A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images.
Zhao HB; Liu C; Ye J; Chang LF; Xu Q; Shi BW; Liu LL; Yin YL; Shi BB
Endokrynol Pol; 2021; 72(3):217-225. PubMed ID: 33619712
[TBL] [Abstract][Full Text] [Related]
15. A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.
Laves MH; Bicker J; Kahrs LA; Ortmaier T
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):483-492. PubMed ID: 30649670
[TBL] [Abstract][Full Text] [Related]
16. Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu M; Liu Q; Yan C; Sen G
Curr Med Imaging; 2022; 19(1):65-76. PubMed ID: 35430973
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
19. Application Value of a Deep Convolutional Neural Network Model for Cytological Assessment of Thyroid Nodules.
Ren Y; He Y; Cong L
J Healthc Eng; 2021; 2021():6076135. PubMed ID: 34795882
[TBL] [Abstract][Full Text] [Related]
20. Facial Expressions Recognition for Human-Robot Interaction Using Deep Convolutional Neural Networks with Rectified Adam Optimizer.
Melinte DO; Vladareanu L
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32340140
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
