These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

278 related articles for article (PubMed ID: 31454710)

  • 1. An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.
    Zhang S; Han F; Liang Z; Tan J; Cao W; Gao Y; Pomeroy M; Ng K; Hou W
    Comput Med Imaging Graph; 2019 Oct; 77():101645. PubMed ID: 31454710
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.
    Zhang S; Wu J; Shi E; Yu S; Gao Y; Li LC; Kuo LR; Pomeroy MJ; Liang ZJ
    Comput Med Imaging Graph; 2023 Sep; 108():102257. PubMed ID: 37301171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
    Han F; Yan L; Chen J; Teng Y; Chen S; Qi S; Qian W; Yang J; Moore W; Zhang S; Liang Z
    J Digit Imaging; 2020 Jun; 33(3):685-696. PubMed ID: 32144499
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
    Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
    Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
    Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images.
    Masood A; Sheng B; Li P; Hou X; Wei X; Qin J; Feng D
    J Biomed Inform; 2018 Mar; 79():117-128. PubMed ID: 29366586
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
    Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
    PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.
    Wang H; Zhao T; Li LC; Pan H; Liu W; Gao H; Han F; Wang Y; Qi Y; Liang Z
    J Xray Sci Technol; 2018; 26(2):171-187. PubMed ID: 29036877
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
    Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
    Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.
    Dai Y; Yan S; Zheng B; Song C
    Phys Med Biol; 2018 Dec; 63(24):245004. PubMed ID: 30524071
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
    Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
    J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network.
    Chen CH; Lee YW; Huang YS; Lan WR; Chang RF; Tu CY; Chen CY; Liao WC
    Comput Methods Programs Biomed; 2019 Aug; 177():175-182. PubMed ID: 31319946
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
    Wang S; Zhou M; Liu Z; Liu Z; Gu D; Zang Y; Dong D; Gevaert O; Tian J
    Med Image Anal; 2017 Aug; 40():172-183. PubMed ID: 28688283
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.