BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 31594753)

  • 1. Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images.
    Xiong H; Lin P; Yu JG; Ye J; Xiao L; Tao Y; Jiang Z; Lin W; Liu M; Xu J; Hu W; Lu Y; Liu H; Li Y; Zheng Y; Yang H
    EBioMedicine; 2019 Oct; 48():92-99. PubMed ID: 31594753
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Recognition of Laryngoscopic Images Using a Deep-Learning Technique.
    Ren J; Jing X; Wang J; Ren X; Xu Y; Yang Q; Ma L; Sun Y; Xu W; Yang N; Zou J; Zheng Y; Chen M; Gan W; Xiang T; An J; Liu R; Lv C; Lin K; Zheng X; Lou F; Rao Y; Yang H; Liu K; Liu G; Lu T; Zheng X; Zhao Y
    Laryngoscope; 2020 Nov; 130(11):E686-E693. PubMed ID: 32068890
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
    Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
    J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
    Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
    Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System.
    Cho WK; Lee YJ; Joo HA; Jeong IS; Choi Y; Nam SY; Kim SY; Choi SH
    Laryngoscope; 2021 Nov; 131(11):2558-2566. PubMed ID: 34000069
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
    Gao Y; Zeng S; Xu X; Li H; Yao S; Song K; Li X; Chen L; Tang J; Xing H; Yu Z; Zhang Q; Zeng S; Yi C; Xie H; Xiong X; Cai G; Wang Z; Wu Y; Chi J; Jiao X; Qin Y; Mao X; Chen Y; Jin X; Mo Q; Chen P; Huang Y; Shi Y; Wang J; Zhou Y; Ding S; Zhu S; Liu X; Dong X; Cheng L; Zhu L; Cheng H; Cha L; Hao Y; Jin C; Zhang L; Zhou P; Sun M; Xu Q; Chen K; Gao Z; Zhang X; Ma Y; Liu Y; Xiao L; Xu L; Peng L; Hao Z; Yang M; Wang Y; Ou H; Jia Y; Tian L; Zhang W; Jin P; Tian X; Huang L; Wang Z; Liu J; Fang T; Yan D; Cao H; Ma J; Li X; Zheng X; Lou H; Song C; Li R; Wang S; Li W; Zheng X; Chen J; Li G; Chen R; Xu C; Yu R; Wang J; Xu S; Kong B; Xie X; Ma D; Gao Q
    Lancet Digit Health; 2022 Mar; 4(3):e179-e187. PubMed ID: 35216752
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.
    Treder M; Lauermann JL; Eter N
    Graefes Arch Clin Exp Ophthalmol; 2018 Nov; 256(11):2053-2060. PubMed ID: 30091055
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.
    Fujisawa Y; Otomo Y; Ogata Y; Nakamura Y; Fujita R; Ishitsuka Y; Watanabe R; Okiyama N; Ohara K; Fujimoto M
    Br J Dermatol; 2019 Feb; 180(2):373-381. PubMed ID: 29953582
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Interpretable Computer Vision to Detect and Classify Structural Laryngeal Lesions in Digital Flexible Laryngoscopic Images.
    Bur AM; Zhang T; Chen X; Kavookjian H; Kraft S; Karadaghy O; Farrokhian N; Mussatto C; Penn J; Wang G
    Otolaryngol Head Neck Surg; 2023 Dec; 169(6):1564-1572. PubMed ID: 37350279
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic gas detection in prostate cancer patients during image-guided radiation therapy using a deep convolutional neural network.
    Miura H; Ozawa S; Doi Y; Nakao M; Ohnishi K; Kenjo M; Nagata Y
    Phys Med; 2019 Aug; 64():24-28. PubMed ID: 31515026
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.
    Matsuba S; Tabuchi H; Ohsugi H; Enno H; Ishitobi N; Masumoto H; Kiuchi Y
    Int Ophthalmol; 2019 Jun; 39(6):1269-1275. PubMed ID: 29744763
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transfer learning for informative-frame selection in laryngoscopic videos through learned features.
    Patrini I; Ruperti M; Moccia S; Mattos LS; Frontoni E; De Momi E
    Med Biol Eng Comput; 2020 Jun; 58(6):1225-1238. PubMed ID: 32212052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network.
    Yan P; Li S; Zhou Z; Liu Q; Wu J; Ren Q; Chen Q; Chen Z; Chen Z; Chen S; Scholp A; Jiang JJ; Kang J; Ge P
    Clin Otolaryngol; 2023 May; 48(3):436-441. PubMed ID: 36624555
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.
    Li X; Zhang S; Zhang Q; Wei X; Pan Y; Zhao J; Xin X; Qin C; Wang X; Li J; Yang F; Zhao Y; Yang M; Wang Q; Zheng Z; Zheng X; Yang X; Whitlow CT; Gurcan MN; Zhang L; Wang X; Pasche BC; Gao M; Zhang W; Chen K
    Lancet Oncol; 2019 Feb; 20(2):193-201. PubMed ID: 30583848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MR-based synthetic CT generation using a deep convolutional neural network method.
    Han X
    Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Model Based on Deep Convolutional Neural Network Improves Diagnostic Accuracy of Intramucosal Gastric Cancer (With Video).
    Tang D; Zhou J; Wang L; Ni M; Chen M; Hassan S; Luo R; Chen X; He X; Zhang L; Ding X; Yu H; Xu G; Zou X
    Front Oncol; 2021; 11():622827. PubMed ID: 33959495
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data.
    Li Y; Gu W; Yue H; Lei G; Guo W; Wen Y; Tang H; Luo X; Tu W; Ye J; Hong R; Cai Q; Gu Q; Liu T; Miao B; Wang R; Ren J; Lei W
    J Transl Med; 2023 Oct; 21(1):698. PubMed ID: 37805551
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study.
    Tang D; Wang L; Ling T; Lv Y; Ni M; Zhan Q; Fu Y; Zhuang D; Guo H; Dou X; Zhang W; Xu G; Zou X
    EBioMedicine; 2020 Dec; 62():103146. PubMed ID: 33254026
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy.
    Nagasawa T; Tabuchi H; Masumoto H; Enno H; Niki M; Ohara Z; Yoshizumi Y; Ohsugi H; Mitamura Y
    Int Ophthalmol; 2019 Oct; 39(10):2153-2159. PubMed ID: 30798455
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.