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 *

184 related articles for article (PubMed ID: 38267874)

  • 1. Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer.
    Peng Y; Deng H
    BMC Med Imaging; 2024 Jan; 24(1):24. PubMed ID: 38267874
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence.
    Huang J; Li J; Li Z; Zhu Z; Shen C; Qi G; Yu G
    Comput Intell Neurosci; 2022; 2022():5658641. PubMed ID: 35463254
    [TBL] [Abstract][Full Text] [Related]  

  • 3. AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.
    Fujita H
    Radiol Phys Technol; 2020 Mar; 13(1):6-19. PubMed ID: 31898014
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
    Hadjiiski L; Cha K; Chan HP; Drukker K; Morra L; Näppi JJ; Sahiner B; Yoshida H; Chen Q; Deserno TM; Greenspan H; Huisman H; Huo Z; Mazurchuk R; Petrick N; Regge D; Samala R; Summers RM; Suzuki K; Tourassi G; Vergara D; Armato SG
    Med Phys; 2023 Feb; 50(2):e1-e24. PubMed ID: 36565447
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Research related to the diagnosis of prostate cancer based on machine learning medical images: A review.
    Chen X; Liu X; Wu Y; Wang Z; Wang SH
    Int J Med Inform; 2024 Jan; 181():105279. PubMed ID: 37977054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance.
    Oliveira SP; Neto PC; Fraga J; Montezuma D; Monteiro A; Monteiro J; Ribeiro L; Gonçalves S; Pinto IM; Cardoso JS
    Sci Rep; 2021 Jul; 11(1):14358. PubMed ID: 34257363
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].
    Yu YY
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jan; 23(1):33-37. PubMed ID: 31958928
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Current status and future perspective on artificial intelligence for lower endoscopy.
    Misawa M; Kudo SE; Mori Y; Maeda Y; Ogawa Y; Ichimasa K; Kudo T; Wakamura K; Hayashi T; Miyachi H; Baba T; Ishida F; Itoh H; Oda M; Mori K
    Dig Endosc; 2021 Jan; 33(2):273-284. PubMed ID: 32969051
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Role of Machine Learning and Artificial Intelligence in Interventional Oncology.
    D'Amore B; Smolinski-Zhao S; Daye D; Uppot RN
    Curr Oncol Rep; 2021 Apr; 23(6):70. PubMed ID: 33880651
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Towards laryngeal cancer diagnosis using Dandelion Optimizer Algorithm with ensemble learning on biomedical throat region images.
    Alzakari SA; Maashi M; Alahmari S; Arasi MA; Alharbi AAK; Sayed A
    Sci Rep; 2024 Aug; 14(1):19713. PubMed ID: 39181918
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging.
    Ramalakshmi K; Srinivasa Raghavan V; Rajagopal S; Krishna Kumari L; Theivanathan G; Kulkarni MB; Poddar H
    Biomed Phys Eng Express; 2024 Jun; 10(4):. PubMed ID: 38848695
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis.
    Guo J; Cao W; Nie B; Qin Q
    IEEE J Transl Eng Health Med; 2023; 11():54-59. PubMed ID: 36544891
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications.
    D'Angelo T; Caudo D; Blandino A; Albrecht MH; Vogl TJ; Gruenewald LD; Gaeta M; Yel I; Koch V; Martin SS; Lenga L; Muscogiuri G; Sironi S; Mazziotti S; Booz C
    J Clin Ultrasound; 2022 Nov; 50(9):1414-1431. PubMed ID: 36069404
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Machine Learning for Computer-aided Diagnosis].
    Nemoto M; Masutani Y; Nomura Y; Hanaoka S; Miki S; Yoshikawa T; Hayashi N; Ootomo K
    Igaku Butsuri; 2016; 36(1):29-34. PubMed ID: 28428494
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.
    de Lange T; Halvorsen P; Riegler M
    World J Gastroenterol; 2018 Dec; 24(45):5057-5062. PubMed ID: 30568383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.
    Wang C; Zhang N
    J Healthc Eng; 2021; 2021():3927828. PubMed ID: 34840696
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence and machine learning for medical imaging: A technology review.
    Barragán-Montero A; Javaid U; Valdés G; Nguyen D; Desbordes P; Macq B; Willems S; Vandewinckele L; Holmström M; Löfman F; Michiels S; Souris K; Sterpin E; Lee JA
    Phys Med; 2021 Mar; 83():242-256. PubMed ID: 33979715
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence in ultrasound.
    Shen YT; Chen L; Yue WW; Xu HX
    Eur J Radiol; 2021 Jun; 139():109717. PubMed ID: 33962110
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models.
    Nguyen DT; Lee MB; Pham TD; Batchuluun G; Arsalan M; Park KR
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33105736
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.
    Zhang J; Song Y; Xia F; Zhu C; Zhang Y; Song W; Xu J; Ma X
    Med Hypotheses; 2017 Sep; 107():98-99. PubMed ID: 28915974
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.