AIMC Topic: Ribs

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A proposal for cut marks classification using machine learning: Serrated vs. non-serrated, single vs. double-beveled knives.

Journal of forensic sciences Jul 25, 2024
In tool mark identification, there is still a lack of characteristics and methodologies standardization used to analyze and describe sharp force trauma marks on skeletal remains. This study presents a classification method for cut marks on human bone...
Ribs Animals Swine Machine Learning Models, Animal Weapons Wounds, Stab Equipment Design Microscopy Logistic Models
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A deep learning-based pipeline for developing multi-rib shape generative model with populational percentiles or anthropometrics as predictors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 25, 2024
Rib cross-sectional shapes (characterized by the outer contour and cortical bone thickness) affect the rib mechanical response under impact loading, thereby influence the rib injury pattern and risk. A statistical description of the rib shapes or the...
Anthropometry Adult Male Ribs Humans Deep Learning Female Middle Aged Tomography, X-Ray Computed Aged Adolescent
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Traumatic rib fracture patterns associated with bone mineral density statuses derived from CT images.

Frontiers in endocrinology Dec 12, 2023
BACKGROUND: The impact of decreased bone mineral density (BMD) on traumatic rib fractures remains unknown. We combined computed tomography (CT) and artificial intelligence (AI) to measure BMD and explore its impact on traumatic rib fractures and thei...
Ribs Thoracic Injuries Retrospective Studies Osteoporosis Tomography, X-Ray Computed Wounds, Nonpenetrating Humans Bone Density Prospective Studies Artificial Intelligence Rib Fractures
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Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography.

International journal of computer assisted radiology and surgery Oct 3, 2023
PURPOSE: Scanning path planning is an essential technology for fully automated ultrasound (US) robotics. During biliary scanning, the subcostal boundary is critical body surface landmarks for scanning path planning but are often invisible, depending ...
Humans Imaging, Three-Dimensional Robotics Radionuclide Imaging Ribs Ultrasonography
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Technical Aspects of Robotic First Rib Resection.

Thoracic surgery clinics May 25, 2023
Robot-assisted thoracoscopic surgery for the treatment of thoracic outlet syndrome is a novel approach that continues to increase in popularity due to advantages compared with traditional open first rib resection. Following publication of the Society...
Thoracic Surgical Procedures Thoracic Outlet Syndrome Robotics Robotic Surgical Procedures Ribs Treatment Outcome Humans
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An automatic fresh rib fracture detection and positioning system using deep learning.

The British journal of radiology Apr 17, 2023
OBJECTIVE: To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS).
Sensitivity and Specificity Deep Learning Rib Fractures Retrospective Studies Ribs Humans
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Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum.

Animal genetics Feb 9, 2023
Computer vision system (CVSs) are effective tools that enable large-scale phenotyping with a low-cost and non-invasive method, which avoids animal stress. Economically important traits, such as rib and loin yield, are difficult to measure; therefore,...
Body Weights and Measures Artificial Intelligence Ribs Deep Learning Animals Characiformes
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Invited Commentary on Robotic First Rib Resection: Thoracic Outlet Decompression: Lessons Learned.

Annals of surgery Jul 6, 2022
Humans Ribs Treatment Outcome Retrospective Studies Robotics Thoracic Surgical Procedures Decompression, Surgical Robotic Surgical Procedures Thoracic Outlet Syndrome
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Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.

Sensors (Basel, Switzerland) Apr 20, 2022
Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficult to read clearly because several human organ tissues and bones overlap. Therefore, various image processing and rib segmentation methods have been pr...
X-Rays Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Ribs Radiography
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DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

PloS one Mar 31, 2022
Automatic detection of some pulmonary abnormalities using chest X-rays may be impacted adversely due to obscuring by bony structures like the ribs and the clavicles. Automated bone suppression methods would increase soft tissue visibility and enhance...
Neural Networks, Computer Radiography, Thoracic COVID-19 Ribs Humans Clavicle Lung Diseases Signal-To-Noise Ratio
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