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Volumn 320, Issue 11, 2018, Pages 1192-1193

On deep learning for medical image analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; IMAGE ANALYSIS; PHOTOGRAPHY; PRIORITY JOURNAL; REVIEW; SEQUENTIAL ANALYSIS; SOCIAL HIERARCHY; VISUAL INFORMATION; WRITING SYSTEM; DIAGNOSTIC IMAGING; HISTORY; IMAGE PROCESSING; MACHINE LEARNING; PROCEDURES;

EID: 85053504628     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2018.13316     Document Type: Review
Times cited : (75)

References (8)
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    • Handwritten digit recognition with a back-propagation network
    • LeCun Y, Boser BE, Denker JS, et al. Handwritten digit recognition with a back-propagation network. Adv Neural Inf Process Syst. 1990:396-404. Https://www.cs.rit.edu/~mpv/course/ai/lecun-90c.pdf.
    • (1990) Adv Neural Inf Process Syst , pp. 396-404
    • LeCun, Y.1    Boser, B.E.2    Denker, J.S.3
  • 2
    • 85053009378 scopus 로고    scopus 로고
    • Deep learning-a technology with the potential to transform health care [published online August 30, 2018]
    • Hinton G. Deep learning-a technology with the potential to transform health care [published online August 30, 2018]. JAMA. Doi:10.1001/jama.2018.11100
    • JAMA
    • Hinton, G.1
  • 3
    • 85052997283 scopus 로고    scopus 로고
    • On the prospects for a (deep) learning health care system [published online August 30, 2018]
    • Naylor CD. On the prospects for a (deep) learning health care system [published online August 30, 2018]. JAMA. Doi:10.1001/jama.2018.11103
    • JAMA
    • Naylor, C.D.1
  • 5
    • 85038438910 scopus 로고    scopus 로고
    • Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
    • Ting DSW, Cheung CY, Lim G, et al. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes. JAMA. 2017;318(22):2211-2223. Doi:10.1001/jama.2017.18152
    • (2017) JAMA , vol.318 , Issue.22 , pp. 2211-2223
    • Ting, D.S.W.1    Cheung, C.Y.2    Lim, G.3
  • 6
    • 84976510674 scopus 로고    scopus 로고
    • Classifying and segmenting microscopy images with deep multiple instance learning
    • Kraus OZ, Ba JL, Frey BJ. Classifying and segmenting microscopy images with deep multiple instance learning. Bioinformatics. 2016;32(12):i52-i59. Doi:10.1093/bioinformatics/btw252
    • (2016) Bioinformatics , vol.32 , Issue.12 , pp. i52-i59
    • Kraus, O.Z.1    Ba, J.L.2    Frey, B.J.3
  • 7
    • 84991063753 scopus 로고    scopus 로고
    • High-throughput classification of radiographs using deep convolutional neural networks
    • Rajkomar A, Lingam S, Taylor AG, Blum M, Mongan J. High-throughput classification of radiographs using deep convolutional neural networks. J Digit Imaging. 2017;30(1):95-101. Doi:10.1007/s10278-016-9914-9
    • (2017) J Digit Imaging , vol.30 , Issue.1 , pp. 95-101
    • Rajkomar, A.1    Lingam, S.2    Taylor, A.G.3    Blum, M.4    Mongan, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.