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 *

176 related articles for article (PubMed ID: 36322109)

  • 61. Automatic detection of small bowel lesions with different bleeding risks based on deep learning models.
    Zhang RY; Qiang PP; Cai LJ; Li T; Qin Y; Zhang Y; Zhao YQ; Wang JP
    World J Gastroenterol; 2024 Jan; 30(2):170-183. PubMed ID: 38312122
    [TBL] [Abstract][Full Text] [Related]  

  • 62. [Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].
    He ZY; Wang Y; Zhang PH; Zuo K; Liang PF; Zeng JZ; Zhou ST; Guo L; Huang MT; Cui X
    Zhonghua Shao Shang Za Zhi; 2020 Nov; 36(11):1070-1074. PubMed ID: 33238691
    [No Abstract]   [Full Text] [Related]  

  • 63. Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images.
    Cheng PM; Malhi HS
    J Digit Imaging; 2017 Apr; 30(2):234-243. PubMed ID: 27896451
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.
    Wang L; Yang S; Yang S; Zhao C; Tian G; Gao Y; Chen Y; Lu Y
    World J Surg Oncol; 2019 Jan; 17(1):12. PubMed ID: 30621704
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images.
    Vasile CM; Udriştoiu AL; Ghenea AE; Padureanu V; Udriştoiu Ş; Gruionu LG; Gruionu G; Iacob AV; Popescu M
    Curr Health Sci J; 2021; 47(2):221-227. PubMed ID: 34765242
    [TBL] [Abstract][Full Text] [Related]  

  • 66. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
    Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
    Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion.
    Byra M; Galperin M; Ojeda-Fournier H; Olson L; O'Boyle M; Comstock C; Andre M
    Med Phys; 2019 Feb; 46(2):746-755. PubMed ID: 30589947
    [TBL] [Abstract][Full Text] [Related]  

  • 68. 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]  

  • 69. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
    El-Khatib H; Popescu D; Ichim L
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
    [TBL] [Abstract][Full Text] [Related]  

  • 70. 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]  

  • 71. Differential Biases and Variabilities of Deep Learning-Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study.
    Cha D; Pae C; Lee SA; Na G; Hur YK; Lee HY; Cho AR; Cho YJ; Han SG; Kim SH; Choi JY; Park HJ
    JMIR Med Inform; 2021 Dec; 9(12):e33049. PubMed ID: 34889764
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.
    Xia TH; Tan M; Li JH; Wang JJ; Wu QQ; Kong DX
    Chin Med J (Engl); 2021 Jul; 134(15):1828-1837. PubMed ID: 34224403
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Transfer Learning for Effective Urolithiasis Detection.
    Choi HS; Kim JS; Whangbo TK; Kim KH
    Int Neurourol J; 2023 May; 27(Suppl 1):S21-26. PubMed ID: 37280756
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.
    Xue LY; Jiang ZY; Fu TT; Wang QM; Zhu YL; Dai M; Wang WP; Yu JH; Ding H
    Eur Radiol; 2020 May; 30(5):2973-2983. PubMed ID: 31965257
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.
    Rezayi S; Mohammadzadeh N; Bouraghi H; Saeedi S; Mohammadpour A
    Comput Intell Neurosci; 2021; 2021():5478157. PubMed ID: 34804144
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images.
    Kaplan E; Chan WY; Dogan S; Barua PD; Bulut HT; Tuncer T; Cizik M; Tan RS; Acharya UR
    Med Eng Phys; 2022 Oct; 108():103895. PubMed ID: 36195364
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
    Song Y; Ren S; Lu Y; Fu X; Wong KKL
    Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.
    Aoki T; Yamada A; Aoyama K; Saito H; Tsuboi A; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Tanaka S; Koike K; Tada T
    Gastrointest Endosc; 2019 Feb; 89(2):357-363.e2. PubMed ID: 30670179
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.
    Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH
    Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model.
    Bassani T; Cina A; Galbusera F; Sconfienza LM; Albano D; Barcellona F; Colombini A; Luca A; Brayda-Bruno M
    Front Surg; 2023; 10():1172313. PubMed ID: 37425349
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.