AIMC Topic: Chondroma

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Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.

Scientific reports Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh...
Radiomics Male Female Adult Imaging, Three-Dimensional Machine Learning Bone Neoplasms Tomography, X-Ray Computed Chondroma Middle Aged Humans Deep Learning
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A deep learning model for classification of chondroid tumors on CT images.

BMC cancer Mar 28, 2025
BACKGROUND: Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas using CT ...
Humans Retrospective Studies Aged Adult Male Tomography, X-Ray Computed Female Chondrosarcoma Chondroma Middle Aged Bone Neoplasms Deep Learning Diagnosis, Differential
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Computed tomography-based radiomics machine learning models for differentiating enchondroma and atypical cartilaginous tumor in long bones.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jul 29, 2024
To explore the value of CT-based radiomics machine learning models for differentiating enchondroma from atypical cartilaginous tumor (ACT) in long bones and methods to improve model performance.59 enchondromas and 53 ACTs in long bones confirmed by p...
Middle Aged Tomography, X-Ray Computed Algorithms Adolescent Female Diagnosis, Differential Radiomics Retrospective Studies Young Adult Humans Child Chondroma Male Aged Adult Machine Learning Bone Neoplasms
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Enhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosis.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jul 15, 2024
This study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping ra...
Male Middle Aged Adolescent Bone Neoplasms Deep Learning Young Adult Adult Humans Chondroma Female Radiography Aged Cost-Benefit Analysis
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CT radiomics-based machine learning model for differentiating between enchondroma and low-grade chondrosarcoma.

Medicine Aug 16, 2024
It may be difficult to distinguish between enchondroma and low-grade malignant cartilage tumors (grade 1) radiologically. This study aimed to construct machine learning models using 3D computed tomography (CT)-based radiomics analysis to differentiat...
Chondrosarcoma Chondroma Male Middle Aged Diagnosis, Differential Neoplasm Grading Bone Neoplasms Adult Radiomics Aged Machine Learning Young Adult Retrospective Studies Humans Female Tomography, X-Ray Computed Reproducibility of Results
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