BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

238 related articles for article (PubMed ID: 34481459)

  • 1. Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.
    Liu Y; Yang P; Pi Y; Jiang L; Zhong X; Cheng J; Xiang Y; Wei J; Li L; Yi Z; Cai H; Zhao Z
    BMC Med Imaging; 2021 Sep; 21(1):131. PubMed ID: 34481459
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.
    Zhao Z; Pi Y; Jiang L; Xiang Y; Wei J; Yang P; Zhang W; Zhong X; Zhou K; Li Y; Li L; Yi Z; Cai H
    Sci Rep; 2020 Oct; 10(1):17046. PubMed ID: 33046779
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.
    Papandrianos N; Papageorgiou EI; Anagnostis A
    Ann Nucl Med; 2020 Nov; 34(11):824-832. PubMed ID: 32839920
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.
    Papandrianos N; Papageorgiou E; Anagnostis A; Papageorgiou K
    PLoS One; 2020; 15(8):e0237213. PubMed ID: 32797099
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer.
    Joo MW; Ko T; Kim MS; Lee YS; Shin SH; Chung YG; Lee HK
    Clin Orthop Relat Res; 2023 Nov; 481(11):2247-2256. PubMed ID: 37615504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.
    Yang P; Pi Y; He T; Sun J; Wei J; Xiang Y; Jiang L; Li L; Yi Z; Zhao Z; Cai H
    BMC Med Imaging; 2021 Nov; 21(1):179. PubMed ID: 34823482
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficient Bone Metastasis Diagnosis in Bone Scintigraphy Using a Fast Convolutional Neural Network Architecture.
    Papandrianos N; Papageorgiou E; Anagnostis A; Papageorgiou K
    Diagnostics (Basel); 2020 Jul; 10(8):. PubMed ID: 32751433
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging.
    Fujioka T; Yashima Y; Oyama J; Mori M; Kubota K; Katsuta L; Kimura K; Yamaga E; Oda G; Nakagawa T; Kitazume Y; Tateishi U
    Magn Reson Imaging; 2021 Jan; 75():1-8. PubMed ID: 33045323
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnostic performance of bone scintigraphy analyzed by three artificial neural network systems.
    Kikushima S; Hanawa N; Kotake F
    Ann Nucl Med; 2015 Feb; 29(2):125-31. PubMed ID: 25348548
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks.
    Fujioka T; Katsuta L; Kubota K; Mori M; Kikuchi Y; Kato A; Oda G; Nakagawa T; Kitazume Y; Tateishi U
    Ultrason Imaging; 2020; 42(4-5):213-220. PubMed ID: 32501152
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of a computer-assisted diagnosis system, BONENAVI version 2, for bone scintigraphy in cancer patients in a routine clinical setting.
    Koizumi M; Wagatsuma K; Miyaji N; Murata T; Miwa K; Takiguchi T; Makino T; Koyama M
    Ann Nucl Med; 2015 Feb; 29(2):138-48. PubMed ID: 25326907
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial neural network to predict skeletal metastasis in patients with prostate cancer.
    Chiu JS; Wang YF; Su YC; Wei LH; Liao JG; Li YC
    J Med Syst; 2009 Apr; 33(2):91-100. PubMed ID: 19397093
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Usefulness of spatially adaptive noise reduction processing in computer-assisted diagnosis system for bone scintigraphy].
    Ichikawa H; Onoguchi M; Okuda K; Kato T; Terabe M; Shimada H
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2014 May; 70(5):461-6. PubMed ID: 24858291
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer.
    Inaki A; Nakajima K; Wakabayashi H; Mochizuki T; Kinuya S
    Ann Nucl Med; 2019 Oct; 33(10):755-765. PubMed ID: 31317398
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].
    Wang SZ; Wang JG; Lu Y; Zhang YJ; Xin FJ; Liu SL; Zhang XX; Liu GW; Li S; Sui D; Wang DS
    Zhonghua Wai Ke Za Zhi; 2019 Dec; 57(12):934-938. PubMed ID: 31826599
    [No Abstract]   [Full Text] [Related]  

  • 16. A Comparison of Accuracy of Planar and Evolution SPECT/CT Bone Imaging in Differentiating Benign from Metastatic Bone Lesions.
    Teyateeti A; Tocharoenchai C; Muangsomboon K; Komoltri C; Pusuwan P
    J Med Assoc Thai; 2017 Jan; 100(1):100-10. PubMed ID: 29911774
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.
    He Y; Guo J; Ding X; van Ooijen PMA; Zhang Y; Chen A; Oudkerk M; Xie X
    Eur Radiol; 2019 Oct; 29(10):5441-5451. PubMed ID: 30859281
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
    Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
    [No Abstract]   [Full Text] [Related]  

  • 19. Accurate characterization of
    Zhang L; He Q; Zhou T; Zhang B; Li W; Peng H; Zhong X; Ma L; Zhang R
    BMC Med Imaging; 2019 May; 19(1):44. PubMed ID: 31146746
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic performance of a computer-assisted diagnosis system for bone scintigraphy of newly developed skeletal metastasis in prostate cancer patients: search for low-sensitivity subgroups.
    Koizumi M; Motegi K; Koyama M; Terauchi T; Yuasa T; Yonese J
    Ann Nucl Med; 2017 Aug; 31(7):521-528. PubMed ID: 28456877
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.