AIMC Topic: Bone Neoplasms

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Automatic Skeleton Segmentation in CT Images Based on U-Net.

Journal of imaging informatics in medicine Apr 30, 2024
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct clinical contexts which can result in morphological alterations in bone structure. The visual assessment of these changes through anatomical images is co...
Algorithms Tomography, X-Ray Computed Female Bone Neoplasms Bone and Bones Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics.

Computers in biology and medicine Apr 22, 2024
OBJECTIVES: Musculoskeletal (MSK) tumors, given their high mortality rate and heterogeneity, necessitate precise examination and diagnosis to guide clinical treatment effectively. Magnetic resonance imaging (MRI) is pivotal in detecting MSK tumors, a...
Aged Adult Radiomics Humans Algorithms Female Magnetic Resonance Imaging Bone Neoplasms Image Interpretation, Computer-Assisted Muscle Neoplasms Male Middle Aged Deep Learning
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Verification of image quality improvement of low-count bone scintigraphy using deep learning.

Radiological physics and technology Feb 10, 2024
To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) were included in this study. Low-count original images (75%, ...
Deep Learning Image Processing, Computer-Assisted Bone Neoplasms Humans Quality Improvement Radionuclide Imaging
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Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.

Journal of cancer research and clinical oncology Feb 5, 2024
PURPOSE: Bone metastasis is a significant contributor to morbidity and mortality in advanced prostate cancer, and early diagnosis is challenging due to its insidious onset. The use of machine learning to obtain prognostic information from pathologica...
Algorithms Retrospective Studies Radiomics Male Humans Prostatic Neoplasms Deep Learning Magnetic Resonance Imaging Bone Neoplasms
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A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images.

Scientific reports Jan 25, 2024
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying the normal bone tissue. A benign type of bone cancer is harmless and does not spread to other body parts, whereas a malignant type can spread to other body ...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Bone Neoplasms Early Detection of Cancer Humans Osteosarcoma Neural Networks, Computer Computers
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Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study.

Academic radiology Jan 22, 2024
RATIONALE AND OBJECTIVES: Efficiently detecting and characterizing metastatic bone lesions on staging CT is crucial for prostate cancer (PCa) care. However, it demands significant expert time and additional imaging such as PET/CT. We aimed to develop...
Bone Neoplasms Prostatic Neoplasms Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Aged Humans
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Deep learning-based diagnostic models for bone lesions: is current research ready for clinical translation?

European radiology Jan 8, 2024
Bone Neoplasms Translational Research, Biomedical Humans Deep Learning
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Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma.

Academic radiology Dec 27, 2023
RATIONALE AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) is the most crucial prognostic factor for osteosarcoma (OS), it significantly prolongs progression-free survival and improves the quality of life. This study aims to develop a deep learning rad...
Radiomics Young Adult Contrast Media Deep Learning Adult Male Adolescent Magnetic Resonance Imaging Middle Aged Child Sensitivity and Specificity Osteosarcoma Bone Neoplasms Nomograms Humans Predictive Value of Tests Treatment Outcome Chemotherapy, Adjuvant Retrospective Studies Neoadjuvant Therapy Female
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Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.

European radiology Dec 21, 2023
OBJECTIVES: To develop an ensemble multi-task deep learning (DL) framework for automatic and simultaneous detection, segmentation, and classification of primary bone tumors (PBTs) and bone infections based on multi-parametric MRI from multi-center.
Child Magnetic Resonance Imaging Humans Bone Neoplasms Retrospective Studies Middle Aged Female Young Adult Image Interpretation, Computer-Assisted Deep Learning Aged Adult Adolescent Bone Diseases, Infectious Male
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Enhancing Bone Cancer Diagnosis Through Image Extraction and Machine Learning: A State-of-the-Art Approach.

Surgical innovation Dec 7, 2023
Bone cancer is a severe condition often leading to patient mortality. Diagnosis relies on X-rays, MRIs, or CT scans, which require time-consuming manual review by experts. Thus, developing an automated system is crucial for accurate classification o...
Humans Machine Learning Tomography, X-Ray Computed Magnetic Resonance Imaging Bone Neoplasms
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