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...
thyroid ultrasound imagedeep learningnodules risk stratificationClinically, the risk stratification of thyroid nodules is usually used to formulate the next treatment plan. The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI㏑ADS) is a kind of medical standard widely ...
(d) Graphs of all the ROIs analyzed, where a maximum intensity and early washing of the peripheral region of the thyroid nodule with respect to the adjacent thyroid parenchyma is observed. Discussion In recent years there has been an increase in the prevalence of thyroid nodules. High-...
Ultrasound imaging of thyroid gland provides the ability to acquire valuable information for medical diagnosis. This study presents a novel scheme for the analysis of longitudinal ultrasound images aiming at efficient and effective computer-aided detection of thyroid nodules. The proposed scheme involves ...
compared the performance of 64 despeckling filter algorithms for analyzing ultrasound images of thyroid nodules by calculating the structure and preserving the edge. The results showed that the fast bilateral filter and edge-preserving smoothing filters had the best performance in preserving image ...
PURPOSE: Delineation of thyroid nodule boundaries from ultrasound images plays an important role in calculation of clinical indices and diagnosis of thyroid diseases. However, it is challenging for accurate and automatic segmentation of thyroid nodules because of their heterogeneous appearance and components...
Adamczewski Z, Lewiński A: Proposed algorithm for management of patients with thyroid nodules/focal lesions, based on ultrasound (US) and fine-needle ... Z Adamczewski,A Lewiński - 《Thyroid Research》 被引量: 30发表: 2013年 Segmentation of ultrasound images of thyroid nodule for assisting fin...
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...
To improve the segmentation effect of different targets. For multi-target segmentation of thyroid ultrasound images, Kumar et al. [11] proposed a framework for the simultaneous segmentation of thyroid, thyroid nodules, and thyroid follicles, but it is less effective in segmenting smaller internal ...
论文笔记-GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images 论文地址:https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=9720140&ref=aHR0cHM6Ly9zY2hvbGFyLmdvb2dsZS5jb20v 一句话简介:利用 CAM 注意力和GAN 引导的可变性卷积实现甲状腺结节的特征捕获...