BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

239 related articles for article (PubMed ID: 34481459)

  • 21. 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]  

  • 22. Incremental diagnostic utility of systematic double-bed SPECT/CT for bone scintigraphy in initial staging of cancer patients.
    Guezennec C; Keromnes N; Robin P; Abgral R; Bourhis D; Querellou S; de Laroche R; Le Duc-Pennec A; Salaün PY; Le Roux PY
    Cancer Imaging; 2017 Jun; 17(1):16. PubMed ID: 28592305
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparison of the diagnostic and prognostic values of 99mTc-MDP-planar bone scintigraphy, 131I-SPECT/CT and 18F-FDG-PET/CT for the detection of bone metastases from differentiated thyroid cancer.
    Qiu ZL; Xue YL; Song HJ; Luo QY
    Nucl Med Commun; 2012 Dec; 33(12):1232-42. PubMed ID: 23111353
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation.
    Park CW; Oh SJ; Kim KS; Jang MC; Kim IS; Lee YK; Chung MJ; Cho BH; Seo SW
    PLoS One; 2022; 17(2):e0264140. PubMed ID: 35202410
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.
    Ma H; Wang L; Chen Y; Tian L
    Saudi J Gastroenterol; 2022; 28(5):332-340. PubMed ID: 35848703
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Differentiation of malignant and degenerative bone lesions using dexamethasone interventional 3- and 24-hour bone scintigraphy.
    Bhatnagar A; Mondal A; Kashyap R; Sharma RK; Sharma R; Chakravarty SK; Bihari V; Sawroop K; Chopra MK; Soni NL
    Eur J Nucl Med; 1994 Jul; 21(7):609-14. PubMed ID: 7957346
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Diagnostic Efficiency of the Breast Ultrasound Computer-Aided Prediction Model Based on Convolutional Neural Network in Breast Cancer.
    Zhang H; Han L; Chen K; Peng Y; Lin J
    J Digit Imaging; 2020 Oct; 33(5):1218-1223. PubMed ID: 32519253
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
    Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
    Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automatic detection and classification of rib fractures based on patients' CT images and clinical information via convolutional neural network.
    Zhou QQ; Tang W; Wang J; Hu ZC; Xia ZY; Zhang R; Fan X; Yong W; Yin X; Zhang B; Zhang H
    Eur Radiol; 2021 Jun; 31(6):3815-3825. PubMed ID: 33201278
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Diagnostic value of TI-201 and three-phase bone scintigraphy for bone and soft-tissue tumors.
    Nishiyama Y; Yamamoto Y; Toyama Y; Satoh K; Ohkawa M; Tanabe M
    Clin Nucl Med; 2000 Mar; 25(3):200-5. PubMed ID: 10698418
    [TBL] [Abstract][Full Text] [Related]  

  • 31. More advantages in detecting bone and soft tissue metastases from prostate cancer using
    Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
    Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images.
    Zhang M; Zhu C; Wang Y; Kong Z; Hua Y; Zhang W; Si X; Ye B; Xu X; Li L; Heng D; Liu B; Tian S; Wu J; Dang Y; Zhang G
    Gastrointest Endosc; 2021 Jun; 93(6):1261-1272.e2. PubMed ID: 33065026
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Added value of SPECT/CT fusion in assessing suspected bone metastasis: comparison with scintigraphy alone and nonfused scintigraphy and CT.
    Utsunomiya D; Shiraishi S; Imuta M; Tomiguchi S; Kawanaka K; Morishita S; Awai K; Yamashita Y
    Radiology; 2006 Jan; 238(1):264-71. PubMed ID: 16304081
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses.
    Marya NB; Powers PD; Fujii-Lau L; Abu Dayyeh BK; Gleeson FC; Chen S; Long Z; Hough DM; Chandrasekhara V; Iyer PG; Rajan E; Sanchez W; Sawas T; Storm AC; Wang KK; Levy MJ
    Gastrointest Endosc; 2021 May; 93(5):1121-1130.e1. PubMed ID: 32861752
    [TBL] [Abstract][Full Text] [Related]  

  • 35. dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.
    Lin Q; Cao C; Li T; Man Z; Cao Y; Wang H
    BMC Med Imaging; 2021 Aug; 21(1):122. PubMed ID: 34380441
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [Application of deep convolutional neural networks in the diagnosis of laryngeal squamous cell carcinoma based on narrow band imaging endoscopy].
    Hu R; Zhong Q; Xu ZG; Huang LY; Cheng Y; Wang YR; He YD; Cheng Y
    Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2021 May; 56(5):454-458. PubMed ID: 34010998
    [No Abstract]   [Full Text] [Related]  

  • 37. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
    Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
    J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.
    Fujioka T; Kubota K; Mori M; Kikuchi Y; Katsuta L; Kasahara M; Oda G; Ishiba T; Nakagawa T; Tateishi U
    Jpn J Radiol; 2019 Jun; 37(6):466-472. PubMed ID: 30888570
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Diagnostic utility of a computer-aided diagnosis system for whole-body bone scintigraphy to detect bone metastasis in breast cancer patients.
    Urano M; Maki Y; Nishikawa H; Kawai T; Shiraki N; Shibamoto Y
    Ann Nucl Med; 2017 Jan; 31(1):40-45. PubMed ID: 27686468
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Diagnostic performance of a computer-assisted diagnostic system: sensitivity of BONENAVI for bone scintigraphy in patients with disseminated skeletal metastasis is not so high.
    Koizumi M; Motegi K; Koyama M; Ishiyama M; Togawa T; Makino T; Arisaka Y; Terauchi T
    Ann Nucl Med; 2020 Mar; 34(3):200-211. PubMed ID: 31970706
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.