AIMC Topic: Bone and Bones

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Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications.

Scientific reports Nov 2, 2020
Bone surface modifications are foundational to the correct identification of hominin butchery traces in the archaeological record. Until present, no analytical technique existed that could provide objectivity, high accuracy, and an estimate of probab...
Artificial Intelligence Animals Africa Humans Archaeology Fossils Hominidae Europe Bone and Bones Tooth
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Comparative Analysis of Cutting Forces, Torques, and Vibration in Drilling of Bovine, Porcine, and Artificial Femur Bone with Considerations for Robot Effector Stiffness.

Journal of healthcare engineering Oct 19, 2020
Bone drilling is known as one of the most sensitive milling processes in biomedical engineering field. Fracture behavior of this cortical bone during drilling has attracted the attention of many researchers; however, there are still impending concern...
Femur Bone and Bones Vibration Animals Cattle Swine Robotics Torque
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Findings from machine learning in clinical medical imaging applications - Lessons for translation to the forensic setting.

Forensic science international Oct 18, 2020
Machine learning (ML) techniques are increasingly being used in clinical medical imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of these algorithms presents significant challenges due to variability in organ...
Neural Networks, Computer Machine Learning Algorithms Humans Diagnostic Imaging Forensic Medicine Bone and Bones Brain Lung Support Vector Machine
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Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.

Scientific reports Oct 12, 2020
Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in detecting cancer bone metastasis, and it occupies an enormous workload for nuclear medicine physicians. So, we aimed to architecture an automatic image interpretin...
Bone and Bones Sensitivity and Specificity Radionuclide Imaging Male Female Humans Middle Aged Aged Diagnosis, Computer-Assisted Neural Networks, Computer Adult Image Processing, Computer-Assisted Artificial Intelligence Bone Neoplasms
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The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 28, 2020
Automated semantic segmentation of multiple knee joint tissues is desirable to allow faster and more reliable analysis of large datasets and to enable further downstream processing e.g. automated diagnosis. In this work, we evaluate the use of condit...
Magnetic Resonance Imaging Knee Joint Bone and Bones Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Bone age assessment based on deep convolution neural network incorporated with segmentation.

International journal of computer assisted radiology and surgery Sep 28, 2020
PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics, pediatrics, forensic science, etc. Most studies, however, do not take in...
Humans Neural Networks, Computer Female Young Adult Male Infant Image Processing, Computer-Assisted Adolescent Bone and Bones Child, Preschool X-Rays Child
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The utility of a deep learning-based algorithm for bone scintigraphy in patient with prostate cancer.

Annals of nuclear medicine Sep 21, 2020
OBJECTIVE: Bone scintigraphy has often been used to evaluate bone metastases. Its functionality is evident in detecting bone metastasis in patients with malignant tumor including prostate cancer, as appropriate treatment and prognosis are dependent o...
Radionuclide Imaging Whole Body Imaging Male Middle Aged Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Bone and Bones Humans Aged Sensitivity and Specificity
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Modeling adult skeletal stem cell response to laser-machined topographies through deep learning.

Tissue & cell Sep 15, 2020
The response of adult human bone marrow stromal stem cells to surface topographies generated through femtosecond laser machining can be predicted by a deep neural network. The network is capable of predicting cell response to a statistically signific...
Bone and Bones Humans Neural Networks, Computer Cell Adhesion Reproducibility of Results Adult Stem Cells Deep Learning Time Factors Lasers
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Automated feature detection in dental periapical radiographs by using deep learning.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 27, 2020
OBJECTIVE: The aim of this study was to investigate automated feature detection, segmentation, and quantification of common findings in periapical radiographs (PRs) by using deep learning (DL)-based computer vision techniques.
Image Processing, Computer-Assisted Humans Radiography Neural Networks, Computer Bone and Bones Deep Learning
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Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.

Annals of nuclear medicine Aug 24, 2020
OBJECTIVE: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorithm that efficiently and quickly classifies bone scintigraphy images, by determining the presence or absence of prostate cancer metastasis.
Humans Neural Networks, Computer Retrospective Studies Image Interpretation, Computer-Assisted Bone and Bones Male Radionuclide Imaging Bone Neoplasms Prostatic Neoplasms
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