BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 37840849)

  • 21. Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning.
    Peng Y; Chen S; Qin A; Chen M; Gao X; Liu Y; Miao J; Gu H; Zhao C; Deng X; Qi Z
    Radiother Oncol; 2020 Sep; 150():217-224. PubMed ID: 32622781
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.
    Hu Z; Jiang C; Sun F; Zhang Q; Ge Y; Yang Y; Liu X; Zheng H; Liang D
    Med Phys; 2019 Apr; 46(4):1686-1696. PubMed ID: 30697765
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Enhanced dataset synthesis using conditional generative adversarial networks.
    Mert A
    Biomed Eng Lett; 2023 Feb; 13(1):41-48. PubMed ID: 36711160
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear.
    Wang J; Zhao Y; Noble JH; Dawant BM
    Med Image Comput Comput Assist Interv; 2018 Sep; 11070():3-11. PubMed ID: 30693351
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Transfer learning with different modified convolutional neural network models for classifying digital mammograms utilizing Local Dataset.
    Mutar MT; Majid M; Ibrahim MJ; Obaid AH; Alsammarraie AZ; Altameemi E; Kareem TF
    Gulf J Oncolog; 2023 Jan; 1(41):66-71. PubMed ID: 36804161
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computerized nipple identification for multiple image analysis in computer-aided diagnosis.
    Zhou C; Chan HP; Paramagul C; Roubidoux MA; Sahiner B; Hadjiiski LM; Petrick N
    Med Phys; 2004 Oct; 31(10):2871-82. PubMed ID: 15543797
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques.
    Baccouche A; Garcia-Zapirain B; Zheng Y; Elmaghraby AS
    Comput Methods Programs Biomed; 2022 Jun; 221():106884. PubMed ID: 35594582
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Perceived Realism of High-Resolution Generative Adversarial Network-derived Synthetic Mammograms.
    Korkinof D; Harvey H; Heindl A; Karpati E; Williams G; Rijken T; Kecskemethy P; Glocker B
    Radiol Artif Intell; 2021 Mar; 3(2):e190181. PubMed ID: 33937856
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Generative Adversarial Networks in Medical Image Processing.
    Gong M; Chen S; Chen Q; Zeng Y; Zhang Y
    Curr Pharm Des; 2021; 27(15):1856-1868. PubMed ID: 33238866
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis.
    Coyner AS; Chen JS; Chang K; Singh P; Ostmo S; Chan RVP; Chiang MF; Kalpathy-Cramer J; Campbell JP;
    Ophthalmol Sci; 2022 Jun; 2(2):100126. PubMed ID: 36249693
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation.
    Gulakala R; Markert B; Stoffel M
    Comput Methods Programs Biomed; 2023 Feb; 229():107262. PubMed ID: 36463675
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep learning detects genetic alterations in cancer histology generated by adversarial networks.
    Krause J; Grabsch HI; Kloor M; Jendrusch M; Echle A; Buelow RD; Boor P; Luedde T; Brinker TJ; Trautwein C; Pearson AT; Quirke P; Jenniskens J; Offermans K; van den Brandt PA; Kather JN
    J Pathol; 2021 May; 254(1):70-79. PubMed ID: 33565124
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Generative adversarial networks in dental imaging: a systematic review.
    Yang S; Kim KD; Ariji E; Kise Y
    Oral Radiol; 2024 Apr; 40(2):93-108. PubMed ID: 38001347
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep Learning of Phase-Contrast Images of Cancer Stem Cells Using a Selected Dataset of High Accuracy Value Using Conditional Generative Adversarial Networks.
    Zhang Z; Ishihata H; Maruyama R; Kasai T; Kameda H; Sugiyama T
    Int J Mol Sci; 2023 Mar; 24(6):. PubMed ID: 36982398
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SAP-cGAN: Adversarial learning for breast mass segmentation in digital mammogram based on superpixel average pooling.
    Li Y; Zhao G; Zhang Q; Lin Y; Wang M
    Med Phys; 2021 Mar; 48(3):1157-1167. PubMed ID: 33340125
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.
    Keller BM; Nathan DL; Wang Y; Zheng Y; Gee JC; Conant EF; Kontos D
    Med Phys; 2012 Aug; 39(8):4903-17. PubMed ID: 22894417
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
    Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
    Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Metal artifact reduction and clinical verification in oral and maxillofacial region based on deep learning].
    Zeng W; Zhou SL; Guo JX; Tang W
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Jun; 58(6):540-546. PubMed ID: 37271998
    [No Abstract]   [Full Text] [Related]  

  • 39. Automated Breast Cancer Detection in Digital Mammograms of Various Densities via Deep Learning.
    Suh YJ; Jung J; Cho BJ
    J Pers Med; 2020 Nov; 10(4):. PubMed ID: 33172076
    [TBL] [Abstract][Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.