AIMC Topic: Bone and Bones

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A Classification Method of Oracle Materials Based on Local Convolutional Neural Network Framework.

IEEE computer graphics and applications Feb 20, 2020
The classification of materials of oracle bone is one of the most basic aspects for oracle bone morphology. However, the classification method depending on experts' experience requires long-term learning and accumulation for professional knowledge. T...
Neural Networks, Computer Algorithms Animals Spirituality History, Ancient China Animal Shells Image Processing, Computer-Assisted Art Bone and Bones
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Compact Bone Surgery Robot With a High-Resolution and High-Rigidity Remote Center of Motion Mechanism.

IEEE transactions on bio-medical engineering Jan 3, 2020
OBJECTIVE: Two important and difficult tasks during a bone drilling procedure are guiding the orientation of the drilling axis toward the target and maintaining the orientation against the drilling force. To accomplish these tasks, a remote center of...
Motion Animals Bone and Bones Swine Robotic Surgical Procedures Cortical Bone Robotics Surgery, Computer-Assisted
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Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks.

Scientific reports Dec 12, 2019
Accurate identification of bone surface modifications (BSM) is crucial for the taphonomic understanding of archaeological and paleontological sites. Critical interpretations of when humans started eating meat and animal fat or when they started using...
Archaeology Fossils Animals Deep Learning Bone and Bones Humans
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Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids.

Meat science Nov 14, 2019
The aim of this study was to predict carcass tissue composition of goat kids using the decision tree with CHAID algorithm (DT) and artificial neural network (ANN) method in comparison with classical step-wise regression (SWR) analyse. Data were obtai...
Neural Networks, Computer Female Muscle, Skeletal Decision Trees Adipose Tissue Meat Reproducibility of Results Animals Male Goats Bone and Bones
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Noise Adaptation Generative Adversarial Network for Medical Image Analysis.

IEEE transactions on medical imaging Sep 30, 2019
Machine learning has been widely used in medical image analysis under an assumption that the training and test data are under the same feature distributions. However, medical images from difference devices or the same device with different parameter ...
Phantoms, Imaging Machine Learning Humans Deep Learning Tomography, Optical Coherence Ultrasonography Image Processing, Computer-Assisted Bone and Bones Muscle, Skeletal
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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics Sep 7, 2019
PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...
Uncertainty Radiotherapy, Intensity-Modulated Bone and Bones Urinary Bladder Prostatic Neoplasms Prostate Pelvis Reference Values Radiotherapy Dosage Rectum Femur Head Male Deep Learning Magnetic Resonance Imaging Humans Tomography, X-Ray Computed
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Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer.

Annals of nuclear medicine Jul 17, 2019
OBJECTIVE: Artificial neural network (ANN) technology has been developed for clinical use to analyze bone scintigraphy with metastatic bone tumors. It has been reported to improve diagnostic accuracy and reproducibility especially in cases of prostat...
Neural Networks, Computer Retrospective Studies Female Image Processing, Computer-Assisted Bone Neoplasms Bone and Bones Breast Neoplasms Positron Emission Tomography Computed Tomography Humans Middle Aged Whole Body Imaging Automation Fluorodeoxyglucose F18
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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Osteosarcoma Bone Neoplasms Image Interpretation, Computer-Assisted Deep Learning Humans Necrosis Datasets as Topic ROC Curve Software Support Vector Machine Reproducibility of Results Bone and Bones
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MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 11, 2019
PURPOSE: This study assessed the dosimetric accuracy of synthetic CT images generated from magnetic resonance imaging (MRI) data for focal brain radiation therapy, using a deep learning approach.
Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Tomography, X-Ray Computed Brain Neoplasms Radiotherapy, Intensity-Modulated Humans Deep Learning Bone and Bones Radiotherapy, Image-Guided
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Image domain dual material decomposition for dual-energy CT using butterfly network.

Medical physics Apr 1, 2019
PURPOSE: Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnified noise from two CT images of independent scans, leading to...
Bone and Bones Phantoms, Imaging Image Processing, Computer-Assisted Abdomen Humans Head Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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