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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

, , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (12): 1895-1903 (2018)

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Strong Divisibility and LCM-Sequences.. The American Mathematical Monthly, 122 (10): 958-966 (2015)Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net., , , , , , and . CoRR, (2020)Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (12): 1895-1903 (2018)Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method., , , , , , , , and . CoRR, (2020)Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning., , , , , , and . CoRR, (2018)Advances in measurements of ultrasound fields in the frequency range 20-60 MHz., , and . ISBI, page 978-980. IEEE, (2002)Double Pulse Transmission - Dead Zone Decreasing in Ultrasound Imaging., , and . BIOSIGNALS, page 416-420. INSTICC Press, (2009)Added value of morphological features to breast lesion diagnosis in ultrasound., , , and . CoRR, (2017)The Numbers a2 + b2 − dc2.. J. Integer Seq., 18 (2): 15.2.3 (2015)Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning., , , , , , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 41-52. Springer, (2019)