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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1976 1
1985 1
1990 1
1992 2
2000 1
2005 1
2009 1
2010 1
2011 1
2015 1
2016 3
2017 13
2018 17
2019 41
2020 29
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Similar Articles for PMID: 32938617

101 results
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.
Ligabue G, Pollastri F, Fontana F, Leonelli M, Furci L, Giovanella S, Alfano G, Cappelli G, Testa F, Bolelli F, Grana C, Magistroni R. Ligabue G, et al. Clin J Am Soc Nephrol. 2020 Oct 7;15(10):1445-1454. doi: 10.2215/CJN.03210320. Epub 2020 Sep 16. Clin J Am Soc Nephrol. 2020. PMID: 32938617
Recognition of peripheral blood cell images using convolutional neural networks.
Acevedo A, Alférez S, Merino A, Puigví L, Rodellar J. Acevedo A, et al. Comput Methods Programs Biomed. 2019 Oct;180:105020. doi: 10.1016/j.cmpb.2019.105020. Epub 2019 Aug 9. Comput Methods Programs Biomed. 2019. PMID: 31425939
Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images.
Cheng PM, Malhi HS. Cheng PM, et al. J Digit Imaging. 2017 Apr;30(2):234-243. doi: 10.1007/s10278-016-9929-2. J Digit Imaging. 2017. PMID: 27896451 Free PMC article.
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S, Yu Z, Orgun MA. Pang S, et al. Comput Methods Programs Biomed. 2017 Mar;140:283-293. doi: 10.1016/j.cmpb.2016.12.019. Epub 2017 Jan 6. Comput Methods Programs Biomed. 2017. PMID: 28254085
Evaluating medical images using deep convolutional neural networks: A simulated CT phantom image study.
Hayashi N, Maruyama T, Sato Y, Watanabe H, Ogura T, Ogura A. Hayashi N, et al. Technol Health Care. 2020;28(2):113-120. doi: 10.3233/THC-191718. Technol Health Care. 2020. PMID: 31156187
MR-based synthetic CT generation using a deep convolutional neural network method.
Han X. Han X. Med Phys. 2017 Apr;44(4):1408-1419. doi: 10.1002/mp.12155. Epub 2017 Mar 21. Med Phys. 2017. PMID: 28192624
A quantitative description of immunofluorescein images using mathematical morphology.
Sakar M, Lebe B, Akkan T, Sarioglu S. Sakar M, et al. Appl Immunohistochem Mol Morphol. 2010 Jan;18(1):97-101. doi: 10.1097/PAI.0b013e3181b0a5ba. Appl Immunohistochem Mol Morphol. 2010. PMID: 19661788
Differential convolutional neural network.
Sarıgül M, Ozyildirim BM, Avci M. Sarıgül M, et al. Neural Netw. 2019 Aug;116:279-287. doi: 10.1016/j.neunet.2019.04.025. Epub 2019 May 10. Neural Netw. 2019. PMID: 31125914
Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y, Ning H, Mathen P, Cheng JY, Krauze AV, Camphausen K, Miller RW. Zhuge Y, et al. Med Phys. 2020 Jul;47(7):3044-3053. doi: 10.1002/mp.14168. Epub 2020 May 11. Med Phys. 2020. PMID: 32277478
Immunofluorescence study of childhood renal amyloidosis.
Tinaztepe K, Güçer KS. Tinaztepe K, et al. Turk J Pediatr. 1992 Jan-Mar;34(1):5-14. Turk J Pediatr. 1992. PMID: 1509531
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