AIMC Topic: Bone Neoplasms

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Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data.

Scientific reports Sep 1, 2021
Cryo-imaging sections and images a whole mouse and provides ~ 120-GBytes of microscopic 3D color anatomy and fluorescence images, making fully manual analysis of metastases an onerous task. A convolutional neural network (CNN)-based metastases segmen...
Neural Networks, Computer Female Brain Neoplasms Lung Neoplasms Mice Bone Neoplasms Mammary Neoplasms, Experimental Animals Deep Learning Liver Neoplasms Image Processing, Computer-Assisted
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A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors.

European radiology Aug 25, 2021
OBJECTIVES: To build and validate deep learning and machine learning fusion models to classify benign, malignant, and intermediate bone tumors based on patient clinical characteristics and conventional radiographs of the lesion.
Female Young Adult Adult Deep Learning Bone Neoplasms Radiography Humans Machine Learning Retrospective Studies
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Diagnostic performance of deep learning models for detecting bone metastasis on whole-body bone scan in prostate cancer.

European journal of nuclear medicine and molecular imaging Aug 7, 2021
PURPOSE: We evaluated the performance of deep learning classifiers for bone scans of prostate cancer patients.
Whole Body Imaging Male Deep Learning Bone Neoplasms Prostatic Neoplasms Humans Tomography, X-Ray Computed
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Deep Learning on MRI Images for Diagnosis of Lung Cancer Spinal Bone Metastasis.

Contrast media & molecular imaging Jul 14, 2021
This paper aimed to explore the adoption of deep learning algorithms in lung cancer spinal bone metastasis diagnosis. Comprehensive analysis was carried out with the aid of AdaBoost algorithm and Chan-Vese (CV) algorithm. 87 patients with lung cancer...
Middle Aged Female Deep Learning Follow-Up Studies Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging Humans Lung Neoplasms Adult Bone Neoplasms Algorithms Male Spinal Neoplasms Prognosis
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Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.

The British journal of radiology Jun 19, 2021
OBJECTIVE: This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.
Humans Machine Learning Retrospective Studies Male Middle Aged Adolescent Child, Preschool Tomography, X-Ray Computed Female Young Adult Adult Predictive Value of Tests Child Lung Neoplasms Osteosarcoma Bone Neoplasms
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Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.

Radiology Mar 30, 2021
Background It is important to diagnose sclerotic bone lesions in order to determine treatment strategy. Purpose To evaluate the diagnostic performance of a CT radiomics-based machine learning model for differentiating bone islands and osteoblastic bo...
Humans Machine Learning Retrospective Studies Radiography, Abdominal Incidental Findings Osteosclerosis Male Tomography, X-Ray Computed Contrast Media Republic of Korea Bone Neoplasms Female Diagnosis, Differential Aged
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Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

Cancer medicine Mar 12, 2021
OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to predict bone metastasis (BM) in patients with newly diagnosed thyroid cancer (TC).
Decision Making, Computer-Assisted Models, Theoretical Bone Neoplasms Area Under Curve Humans SEER Program Middle Aged Machine Learning Thyroid Neoplasms Female Logistic Models Risk Factors Male
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Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors.

BioMed research international Mar 11, 2021
OBJECTIVES: To build and validate random forest (RF) models for the classification of bone tumors based on the conventional radiographic features of the lesion and patients' clinical characteristics, and identify the most essential features for the c...
Adult Male Middle Aged Child Adolescent Humans Bone Neoplasms Machine Learning Tomography, X-Ray Computed Female
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Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm.

Scientific reports Mar 10, 2021
Osteosarcoma is the most common bone malignancy, with the highest incidence in children and adolescents. Survival rate prediction is important for improving prognosis and planning therapy. However, there is still no prediction model with a high accur...
SEER Program Bone Neoplasms Predictive Value of Tests Models, Biological Disease-Free Survival Humans Machine Learning Databases, Factual Female Survival Rate Male Osteosarcoma
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Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

Scientific reports Feb 19, 2021
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis syste...
Bone Neoplasms Image Interpretation, Computer-Assisted Automation Tomography, Emission-Computed, Single-Photon Whole Body Imaging Algorithms Middle Aged Aged, 80 and over Female Humans Adult Deep Learning Reproducibility of Results Data Analysis Male ROC Curve Aged Image Processing, Computer-Assisted
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