Detecting Subacute Thyroiditis after COVID-19 infection using Deep Learning Techniques – A Case Study

نویسندگان

چکیده

The act of Subacute Thyroiditis (ST) is considered to be a challenge in medical informatics which severely affects half everybody. It plans the thyroid knobs high-goal ultrasound. mechanism formulates C cells Thyroid gland, makes hormone that helps control levels calcium body gets affected after COVID-19. Hundreds research teams have been working recent days collect data and apply computational techniques analyze interpret experimental results Still, only few researched impact due In proposed architecture, we introduced CNN with GapNET-PL Convolutional Block Attention Module (CBAM) improve overall also utilize significant features from Pooling layer. We collected real-time ultrasound image dataset consists 19 images COVID-19 infected patients for preparing approval model. significance this work gauge relationship between's contamination COVID improvement ST utilizing AI procedures. trial show assessment datasets approach has given 89% accuracy P-value <0.001. training parameters provided valid improvisation statistical performance. Thereby can support doctors domain imaging analytics aid AI-systems reasoning diseases related Thyroiditis. Hence strongly recommended validation its risk factors contribute towards disease.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques

Background and Aim: Due to the important role of radiological images for identifying patients with COVID-19, creating a model based on deep learning methods was the main objective of this study. Materials and Methods: 15,153 available chest images of normal, COVID-19, and pneumonia individuals which were in the Kaggle data repository was used as dataset of this research. Data preprocessing inc...

متن کامل

Detecting Overlapping Communities in Social Networks using Deep Learning

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

متن کامل

Could Riedel's thyroiditis be subacute thyroiditis? A case report.

Our purpose in this paper is to make a case for the need to question whether Riedel's thyroiditis is in fact a rare variety of subacute thyroiditis. Total thyroidectomy was performed on a patient with a huge thyroid mass. The histopathological diagnosis was Riedel's thyroiditis with classical lymphoplasmacytic infiltration destroying thyroid tissue and invading perithyroidal soft tissue. Howeve...

متن کامل

A Case of Painful Hashimoto Thyroiditis that Mimicked Subacute Thyroiditis

Hashimoto thyroiditis (HT) is an autoimmune thyroid disorder that usually presents as a diffuse, nontender goiter, whereas subacute thyroiditis (SAT) is an uncommon disease that is characterized by tender thyroid enlargement, transient thyrotoxicosis, and an elevated erythrocyte sedimentation rate (ESR). Very rarely, patients with HT can present with painful, tender goiter or fever, a mimic of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of physics

سال: 2021

ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']

DOI: https://doi.org/10.1088/1742-6596/1917/1/012023