High Resolution Image Detection and Ultrasonic Evaluation of Hyperthyroidism Based on Hospital IoT System

Abstract Hyperthyroidism is a disorder of your thyroid gland, an organ located in front of your neck, which regulates your body's use of hormonal energy for release. The thyroid gland causes hyperthyroidism, hyperthyroidism and has more thyroid hormones than your body needs. The most advanced problems are characteristic of deep features or both based on, but its performance is still limited and detected. To overcome these problems, The Proposed Logistical Support Vector (LSV) algorithm based on ultrasonic hyperactivity using the Internet of Things detect hyperthyroidism. The proposed LSV algorithm is based on an ultrasonic sensor on the Internet of Things to improve the detection of hyperthyroid segmentation automation accuracy. The volume of the thyroid gland is done by is calculated using the results of the segmentation and compares ground truth and segmentation results of performance analysis. The proposed Logistical Support Vector (LSV) algorithm reduces the target class detection imbalance of training samples for training and binary-weighted cross-entropy loss function. By popular open data sets, experiment with the thyroid digital image database, confirmed the most advanced methods, advantages of this method