Lightweight Residual Network for The Classification of Thyroid Nodules

11/16/2019
by   Ponugoti Nikhila, et al.
0

Ultrasound is a useful technique for diagnosing thyroid nodules. Benign and malignant nodules that automatically discriminate in the ultrasound pictures can provide diagnostic recommendations or, improve diagnostic accuracy in the absence of specialists. The main issue here is how to collect suitable features for this particular task. We suggest here a technique for extracting features from ultrasound pictures based on the Residual U-net. We attempt to introduce significant semantic characteristics to the classification. Our model gained 95

READ FULL TEXT
01/18/2008

3D/4D ultrasound registration of bone

This paper presents a method to reduce the invasiveness of Computer Assi...
08/24/2019

Estimation of preterm birth markers with U-Net segmentation network

Preterm birth is the most common cause of neonatal death. Current diagno...
01/19/2022

The Role of Pleura and Adipose in Lung Ultrasound AI

In this paper, we study the significance of the pleura and adipose tissu...
01/25/2022

Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection

We propose using a pre-trained segmentation model to perform diagnostic ...
06/18/2012

The Ultrasound Visualization Pipeline - A Survey

Ultrasound is one of the most frequently used imaging modality in medici...
08/31/2019

UPI-Net: Semantic Contour Detection in Placental Ultrasound

Semantic contour detection is a challenging problem that is often met in...