Due to safety, easy accessibility, noninvasively and cost-effectiveness of ultrasound
imaging, this technology becomes one of the main contributors for analyzing thyroid …

The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

There are many thyroid diseases affecting people all over the world. Many diseases affect
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …

Thyroid volumetry is crucial in the diagnosis, treatment, and monitoring of thyroid diseases.
However, conventional thyroid volumetry with 2D ultrasound is highly operator-dependent …

Breast cancer is the second deadliest cancer among women. Mammography is an important
method for physicians to diagnose breast cancer. The main purpose of this study is to use …

Patches from three orthogonal views of selected cerebral regions can be utilized to learn
convolutional neural network (CNN) models for staging the Alzheimer disease (AD) …

Objectives The application of deep learning to medical image segmentation has received
considerable attention. Nevertheless, when segmenting thyroid ultrasound images, it is …

Background Mammography for the diagnosis of early breast cancer (BC) relies heavily on
the identification of breast masses. However, in the early stages, it might be challenging to …

To study the automatic detection method of hyperthyroidism based on the deep learning of
the modified LeNet-5 network and to establish a detection method with higher precision and …

The segmentation and estimation of thyroid volume in 3D ultrasound images have attracted
the research community's attention because of their great importance in clinical diagnosis …