AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 21 to 30 of 159 articles

Assessment of clinical feasibility:offline adaptive radiotherapy for lung cancer utilizing kV iCBCT and UNet++ based deep learning model.

Journal of applied clinical medical physics Nov 29, 2024
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) addresses uncertainties due to lung tumor dynamics. We aimed to investigate a comprehensively and systematically validated offline ART regimen with high ...
Image Processing, Computer-Assisted Male Lung Neoplasms Middle Aged Radiotherapy Planning, Computer-Assisted Humans Deep Learning Feasibility Studies Female Cone-Beam Computed Tomography Radiotherapy Dosage Organs at Risk Aged Radiotherapy, Intensity-Modulated
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Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.

Journal of applied clinical medical physics Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Workflow Radiotherapy Planning, Computer-Assisted Artificial Intelligence Humans Tomography, X-Ray Computed Brain Neoplasms Phantoms, Imaging Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Patient Positioning
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Machine learning in image-based outcome prediction after radiotherapy: A review.

Journal of applied clinical medical physics Nov 18, 2024
The integration of machine learning (ML) with radiotherapy has emerged as a pivotal innovation in outcome prediction, bringing novel insights amid unique challenges. This review comprehensively examines the current scope of ML applications in various...
Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Machine Learning Neoplasms
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Attention 3D UNET for dose distribution prediction of high-dose-rate brachytherapy of cervical cancer: Intracavitary applicators.

Journal of applied clinical medical physics Nov 15, 2024
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of brachytherapy poses challenges to clinicians. Deep learning based dose prediction methods have shown favorable solutions for enhancing efficiency, bu...
Uterine Cervical Neoplasms Radiotherapy Planning, Computer-Assisted Humans Deep Learning Algorithms Brachytherapy Imaging, Three-Dimensional Retrospective Studies Radiotherapy Dosage Organs at Risk Female Radiotherapy, Intensity-Modulated
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Radiotherapy, Image-Guided Radiographic Image Enhancement Radiotherapy, Intensity-Modulated Phantoms, Imaging Abdominal Neoplasms Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Pelvic Neoplasms Radiotherapy Dosage Female Male Deep Learning Image Processing, Computer-Assisted Humans Algorithms Prospective Studies Tomography, X-Ray Computed
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Clinical commissioning and introduction of an in-house artificial intelligence (AI) platform for automated head and neck intensity modulated radiation therapy (IMRT) treatment planning.

Journal of applied clinical medical physics Nov 6, 2024
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligence (AI) treatment planning platform for head-and-neck (HN) Intensity Modulated Radiation Therapy (IMRT).
Algorithms User-Computer Interface Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Artificial Intelligence
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Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation.

Journal of applied clinical medical physics Oct 14, 2024
PURPOSE: To explore the accuracy and feasibility of a proposed deep learning (DL) algorithm for clinical target volume (CTV) delineation in cervical cancer radiotherapy and evaluate whether it can perform well in external cervical cancer and endometr...
Female Aged Adult Uterine Cervical Neoplasms Humans Neural Networks, Computer Algorithms Prognosis Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Endometrial Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Organs at Risk
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Hyperparameter selection for dataset-constrained semantic segmentation: Practical machine learning optimization.

Journal of applied clinical medical physics Oct 10, 2024
PURPOSE/AIM: This paper provides a pedagogical example for systematic machine learning optimization in small dataset image segmentation, emphasizing hyperparameter selections. A simple process is presented for medical physicists to examine hyperparam...
Image Processing, Computer-Assisted Datasets as Topic Semantics Machine Learning Algorithms Tomography, X-Ray Computed Humans
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A review of deep learning approaches for multimodal image segmentation of liver cancer.

Journal of applied clinical medical physics Oct 7, 2024
This review examines the recent developments in deep learning (DL) techniques applied to multimodal fusion image segmentation for liver cancer. Hepatocellular carcinoma is a highly dangerous malignant tumor that requires accurate image segmentation f...
Humans Carcinoma, Hepatocellular Image Processing, Computer-Assisted Multimodal Imaging Neural Networks, Computer Algorithms Deep Learning Liver Neoplasms
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Ranking attention multiple instance learning for lymph node metastasis prediction on multicenter cervical cancer MRI.

Journal of applied clinical medical physics Oct 6, 2024
PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LNM) diagnosis is histopathological examination following surgical lymphadenectomy. Developing a non-invasive and preoperative method for predicting LNM...
Humans Uterine Cervical Neoplasms Middle Aged Deep Learning ROC Curve Retrospective Studies Image Processing, Computer-Assisted Lymph Nodes Female Lymphatic Metastasis Neural Networks, Computer Aged Magnetic Resonance Imaging Machine Learning Adult Prognosis
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