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Erratum to: Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier.

, и . Multim. Tools Appl., 76 (20): 21839 (2017)

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Granulometry-Based Trabecular Bone Segmentation., , , , и . SCIA (2), том 10270 из Lecture Notes in Computer Science, стр. 100-108. Springer, (2017)Endoscopic Image Retrieval System Using Multi-scale Image Features., и . PerMIn, стр. 64-70. ACM, (2015)Segmentation of cortical bone using fast level sets., , , , и . Medical Imaging: Image Processing, том 10133 из SPIE Proceedings, стр. 1013327. SPIE, (2017)A Ripplet Transform Based Statistical Framework for Natural Color Image Retrieval., , и . ICIAP (1), том 8156 из Lecture Notes in Computer Science, стр. 492-502. Springer, (2013)An efficient radiographic Image Retrieval system using Convolutional Neural Network., , , , и . ICPR, стр. 3134-3139. IEEE, (2016)A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images., , , , и . Artif. Intell. Medicine, (2020)Interactive Image Retrieval with Wavelet Features., , и . PReMI, том 6744 из Lecture Notes in Computer Science, стр. 167-172. Springer, (2011)Erratum to: Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier., и . Multim. Tools Appl., 76 (20): 21839 (2017)Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier., и . Multim. Tools Appl., 74 (24): 11595-11630 (2015)Pap smear image classification using convolutional neural network., , , , и . ICVGIP, стр. 55:1-55:8. ACM, (2016)