Volume 20 No 20 (2022)
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THYROID ULTRASOUND IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
N.Swapna Goud, B.Madhuri
Abstract
Due to its adaptability and intensity in organizing, Deep Learning has been at the forefront of its diverse uses for clinical imaging. In this research, explore various characterization techniques used for datasets that are often small in size to prepare a significant gaining calculation without any preparation at all. Without any planning, move learning, or Inception-v3, VGG-16 tweaking, Using a microscopic CNN, thyroid ultrasound pictures are arranged. examine the aforementioned tactics using precision, responsiveness, and explicitness in our presentation
Keywords
Thyroid Ultrasound , Deep learning and Medical image Analysis
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