Deep-learning techniques have led to technological progress in the area of medical imaging
segmentation especially in the ultrasound domain. In this paper, the main goal of this study …

Artificial Intelligence (AI) in medical image analysis has achieved excellent success in
automatic diagnosis in the same way as clinician, especially in the ultrasound field. In this …

Automatic segmentation of bone surfaces from ultrasound images is of great interest in the
ultrasound-guided computer assisted orthopedic surgery field. These automatic …

Various imaging artifacts, low signal-to-noise ratio, and bone surfaces appearing several
millimeters in thickness have hindered the success of ultrasound (US) guided computer …

The application of ultrasound (US) imaging in orthopedic surgery has always been a
research direction. However, the various problems of US imaging hinder the development of …

Applying machine learning technologies, especially deep learning, into medical image
segmentation is being widely studied because of its state-of-the-art performance and results …

Artificial intelligence (AI) in the area of medical imaging has shown a developed technology
to have automatically the true diagnosis especially in ultrasonic imaging area. At this light …

Advances in medical imaging modalities facilitate the early and accurate detection of tumors
of various types. A preferred imaging modality for diagnosis and identification of tumors is …

Purpose Ultrasound (US) provides real-time, two-/three-dimensional safe imaging. Due to
these capabilities, it is considered a safe alternative to intra-operative fluoroscopy in various …

Segmentation of ultrasound images is an essential task in both diagnosis and image-guided
interventions given the ease-of-use and low cost of this imaging modality. As manual …