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Journal Abstract Search

241 related items for PubMed ID: 28786480

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  • 2. Detection of urinary bladder mass in CT urography with SPAN.
    Cha K, Hadjiiski L, Chan HP, Cohan RH, Caoili EM, Zhou C.
    Med Phys; 2015 Jul; 42(7):4271-84. PubMed ID: 26133625
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  • 3. Machine learning-based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models.
    Xiong S, Fu Z, Deng Z, Li S, Zhan X, Zheng F, Yang H, Liu X, Xu S, Liu H, Fan B, Dong W, Song Y, Fu B.
    Med Phys; 2024 Sep; 51(9):5965-5977. PubMed ID: 38977273
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  • 5. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
    Chan HP, Sahiner B, Lam KL, Petrick N, Helvie MA, Goodsitt MM, Adler DD.
    Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
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  • 8. U-Net based deep learning bladder segmentation in CT urography.
    Ma X, Hadjiiski LM, Wei J, Chan HP, Cha KH, Cohan RH, Caoili EM, Samala R, Zhou C, Lu Y.
    Med Phys; 2019 Apr; 46(4):1752-1765. PubMed ID: 30734932
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  • 11. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
    Whitney HM, Drukker K, Vieceli M, Van Dusen A, de Oliveira M, Abe H, Giger ML.
    Med Phys; 2024 Mar; 51(3):1812-1821. PubMed ID: 37602841
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  • 15. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS, Hong H, Jung DC, Park S, Kim J.
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
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  • 17. Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.
    Liu Q, Liu S, Mao Y, Kang X, Yu M, Chen G.
    Eur Radiol; 2024 Aug; 34(8):5349-5359. PubMed ID: 38206403
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