Background With increasing requirements for medical effects, and huge differences among
individuals, traditional surgical instruments are difficult to meet the patients' growing medical …

Advances in the scientific fields of photogrammetry and computer vision have led to the
development of automated multi-image methods that solve the problem of 3D reconstruction …

In hip arthroplasty, preoperative planning is fundamental to reaching a successful surgery.
Nowadays, several software tools for computed tomography (CT) image processing are …

Objective 3D modeling is a major challenge in computer-assisted surgery (CAS). Manual
segmentation, as the gold standard, is tedious, time consuming, and particularly challenging …

Objectives To evaluate the accuracy of automatic deep learning‐based method for fully
automatic segmentation of the mandible from CBCTs. Setting and sample population CBCT …

Medical image segmentation, whether semi-automatically or manually, is labor-intensive,
subjective, and needs specialized personnel. The fully automated segmentation process …

The rehabilitation of the skull's bones is a difficult process that poses a challenge to the
surgical team. Due to the range of design methods and the availability of materials, the main …

Three-dimensional (3D) printing, medical imaging, and implant design have all advanced
significantly in recent years, and these developments may change how modern …

The reconstruction of craniomaxillofacial deformities, especially zygomatic bone repair, can
be exigent due to the complex anatomical structure and the sensitivity of the crucial organs …

The amount of photopolymer material consumed during the three-dimensional (3D) printing
of a dental model varies with the volume and internal structure of the modeling data. This …