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1دورية أكاديمية
المصدر: Applied Sciences, Vol 8, Iss 12, p 2356 (2018)
مصطلحات موضوعية: method-induced errors, fractals, lacunarity, multi-parameter box-counting, autoencoders, convolutional neural networks, image segmentation, microscopic lung images, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
العلاقة: https://www.mdpi.com/2076-3417/8/12/2356Test; https://doaj.org/toc/2076-3417Test; https://doaj.org/article/816ad13ea04340fd8d70e72814471179Test
الإتاحة: https://doi.org/10.3390/app8122356Test
https://doaj.org/article/816ad13ea04340fd8d70e72814471179Test -
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المصدر: Applied Sciences, Vol 8, Iss 12, p 2356 (2018)
Applied Sciences
Volume 8
Issue 12مصطلحات موضوعية: Computer science, 0211 other engineering and technologies, 02 engineering and technology, multi-parameter box-counting, Convolutional neural network, lcsh:Technology, lcsh:Chemistry, Histogram, Lacunarity, autoencoders, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Segmentation, Instrumentation, image segmentation, lcsh:QH301-705.5, 021101 geological & geomatics engineering, Fluid Flow and Transfer Processes, business.industry, lcsh:T, Process Chemistry and Technology, General Engineering, Pattern recognition, Image segmentation, lacunarity, Autoencoder, Fractal analysis, lcsh:QC1-999, Computer Science Applications, microscopic lung images, Statistical classification, method-induced errors, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, fractals, 020201 artificial intelligence & image processing, Artificial intelligence, business, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19fb1745162ec21a4311308cdd1f85efTest
https://www.mdpi.com/2076-3417/8/12/2356Test
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