BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 35394186)

  • 21. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.
    Yoo H; Lee SH; Arru CD; Doda Khera R; Singh R; Siebert S; Kim D; Lee Y; Park JH; Eom HJ; Digumarthy SR; Kalra MK
    Eur Radiol; 2021 Dec; 31(12):9664-9674. PubMed ID: 34089072
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep learning-based detection algorithm for brain metastases on black blood imaging.
    Oh JH; Lee KM; Kim HG; Yoon JT; Kim EJ
    Sci Rep; 2022 Nov; 12(1):19503. PubMed ID: 36376364
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study.
    Walsh SLF; Calandriello L; Silva M; Sverzellati N
    Lancet Respir Med; 2018 Nov; 6(11):837-845. PubMed ID: 30232049
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.
    Nam JG; Kim HJ; Lee EH; Hong W; Park J; Hwang EJ; Park CM; Goo JM
    Eur Radiol; 2022 Jan; 32(1):213-222. PubMed ID: 34264351
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep learning for colorectal cancer detection in contrast-enhanced CT without bowel preparation: a retrospective, multicentre study.
    Yao L; Li S; Tao Q; Mao Y; Dong J; Lu C; Han C; Qiu B; Huang Y; Huang X; Liang Y; Lin H; Guo Y; Liang Y; Chen Y; Lin J; Chen E; Jia Y; Chen Z; Zheng B; Ling T; Liu S; Tong T; Cao W; Zhang R; Chen X; Liu Z
    EBioMedicine; 2024 Jun; 104():105183. PubMed ID: 38848616
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Detection of acute rib fractures on CT images with convolutional neural networks: effect of location and type of fracture and reader's experience.
    Azuma M; Nakada H; Takei M; Nakamura K; Katsuragawa S; Shinkawa N; Terada T; Masuda R; Hattori Y; Ide T; Kimura A; Shimomura M; Kawano M; Matsumura K; Meiri T; Ochiai H; Hirai T
    Emerg Radiol; 2022 Apr; 29(2):317-328. PubMed ID: 34855002
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.
    Rubin GD; Lyo JK; Paik DS; Sherbondy AJ; Chow LC; Leung AN; Mindelzun R; Schraedley-Desmond PK; Zinck SE; Naidich DP; Napel S
    Radiology; 2005 Jan; 234(1):274-83. PubMed ID: 15537839
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.
    Jin L; Yang J; Kuang K; Ni B; Gao Y; Sun Y; Gao P; Ma W; Tan M; Kang H; Chen J; Li M
    EBioMedicine; 2020 Dec; 62():103106. PubMed ID: 33186809
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.
    Fu T; Viswanathan V; Attia A; Zerbib-Attal E; Kosaraju V; Barger R; Vidal J; Bittencourt LK; Faraji N
    Acad Radiol; 2024 May; 31(5):1989-1999. PubMed ID: 37993303
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance.
    Way T; Chan HP; Hadjiiski L; Sahiner B; Chughtai A; Song TK; Poopat C; Stojanovska J; Frank L; Attili A; Bogot N; Cascade PN; Kazerooni EA
    Acad Radiol; 2010 Mar; 17(3):323-32. PubMed ID: 20152726
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.
    Kim EY; Kim YJ; Choi WJ; Lee GP; Choi YR; Jin KN; Cho YJ
    PLoS One; 2021; 16(2):e0246472. PubMed ID: 33606779
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
    Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Cohen JG; Ferretti GR; Park CM;
    JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automated detection of bone metastatic changes using serial CT scans.
    Oh J; Kim G; Lee J; Cheon M; Park Y; Kim S; Yi J; Lee HY
    Comput Med Imaging Graph; 2017 Jun; 58():62-74. PubMed ID: 27876173
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial.
    Kann BH; Likitlersuang J; Bontempi D; Ye Z; Aneja S; Bakst R; Kelly HR; Juliano AF; Payabvash S; Guenette JP; Uppaluri R; Margalit DN; Schoenfeld JD; Tishler RB; Haddad R; Aerts HJWL; Garcia JJ; Flamand Y; Subramaniam RM; Burtness BA; Ferris RL
    Lancet Digit Health; 2023 Jun; 5(6):e360-e369. PubMed ID: 37087370
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images.
    Ni Q; Sun ZY; Qi L; Chen W; Yang Y; Wang L; Zhang X; Yang L; Fang Y; Xing Z; Zhou Z; Yu Y; Lu GM; Zhang LJ
    Eur Radiol; 2020 Dec; 30(12):6517-6527. PubMed ID: 32617690
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.
    Gong H; Fletcher JG; Heiken JP; Wells ML; Leng S; McCollough CH; Yu L
    Med Phys; 2022 Jan; 49(1):70-83. PubMed ID: 34792800
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.
    Yang Y; Lure FYM; Miao H; Zhang Z; Jaeger S; Liu J; Guo L
    J Xray Sci Technol; 2021; 29(1):1-17. PubMed ID: 33164982
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.
    Keel S; Li Z; Scheetz J; Robman L; Phung J; Makeyeva G; Aung K; Liu C; Yan X; Meng W; Guymer R; Chang R; He M
    Clin Exp Ophthalmol; 2019 Nov; 47(8):1009-1018. PubMed ID: 31215760
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.
    Jang SB; Lee SH; Lee DE; Park SY; Kim JK; Cho JW; Cho J; Kim KB; Park B; Park J; Lim JK
    PLoS One; 2020; 15(11):e0242759. PubMed ID: 33232368
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.
    Xie Z; Zhao H; Song L; Ye Q; Zhong L; Li S; Zhang R; Wang M; Chen X; Lu Z; Yang W; Zhao Y
    Eur J Radiol; 2024 Jul; 176():111496. PubMed ID: 38733705
    [TBL] [Abstract][Full Text] [Related]  

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