The current study systematically reviews the existing literatures and evaluates technical characteristics of the deep learning applications on the ultrasound images of thyroid nodules. In this review, all of the included studies have been published from 2017 to 2020 indicating the recent growing interest...
Ultrasound three-dimensional visualization, a cutting-edge technology in medical imaging, enhances diagnostic accuracy by providing a more comprehensive and readable portrayal of anatomical structures compared to traditional two-dimensional ultrasound. C
The algorithm was able to successfully restore the images to a high quality when it was executed on a dataset of 18 US images of the thyroid gland on which the artefacts were induced manually by a doctor. Further experiments on an additional dataset of 10 unmarked US images of the thyroid ...
Specifically, the CNN used image patches from images of normal thyroids and thyroid nodules as inputs and then generated the segmentation probability maps as outputs. A multi-view strategy is used to improve the performance of the CNN-based model. Additionally, we compared the performance of our...
Thyroid nodule segmentation and classification in ultrasound images are two essential but challenging tasks for computer-aided diagnosis of thyroid nodules. Since these two tasks are inherently related to each other and sharing some common features, solving them jointly with multi-task leaning is a pro...
I intend to make this a large library of ultrasound images obtained from friends in the medical world.
An ultrasound is a test that takes images inside your body. The test uses high-frequency sound waves to create pictures in real time of organs and soft tissue. Not just a tool during pregnancy, an ultrasound can be used to examine your kidneys, breasts, vascular system, thyroid gland, and...
Transverse (A) and longitudinal (B) US images of G1: diffusely enlarged thyroid gland with normal echogenicity, similar to a normal thyroid gland and hyperechoic compared with the anterior strap muscle (asterisk) without heterogeneity. Full size image ...
In addition, a dataset involving 13984 thyroid ultrasound images is established to develop and evaluate the proposed method. We have extensively compared the results of this paper with the evaluation results of sonographers. The accuracy of the risk stratification (TR1 to TR5) of the proposed ...
The model was trained and verified using the public TN3K dataset, which consists of 3493 thyroid nodule images. Our approach was found to significantly improve the accuracy of semantic segmentation, achieving 93.56% with an IOU of 94.97% compared to state-of-the-art methods. ...