By leveraging the recent development of artificial intelligence algorithms, several medical
sectors have benefited from using automatic segmentation tools from bioimaging to segment …

Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …

Autonomous ultrasound (US) scanning has attracted increased attention, and it has been
seen as a potential solution to overcome the limitations of conventional US examinations …

Medical Ultrasound (US), despite its wide use, is characterized by artefacts and operator
dependency. Those attributes hinder the gathering and utilization of US datasets for the …

Due to imaging artifacts and low signal-to-noise ratio in ultrasound images, automatic bone
surface segmentation networks often produce fragmented predictions that can hinder the …

Objective To validate a semi-automated technique to segment ultrasound-assessed femoral
cartilage without compromising segmentation accuracy to a traditional manual segmentation …

The number of total knee arthroplasties performed worldwide is on the rise. Patient-specific
planning and implants may improve surgical outcomes but require 3-D models of the bones …

Ultrasound imaging is widely used for the clinical assessment and study of musculoskeletal
tissues because of its capacity for real-time imaging, low cost, high availability and …

Segmenting both bone surface and the corresponding acoustic shadow are fundamental
tasks in ultrasound (US) guided orthopedic procedures. However, these tasks are …

The patients and surgeons are usually exposed in massive ionizing radiation during
fluoroscopy-based navigation orthopedic surgery. Comparatively, ultrasound-assisted …