AIMC Journal:
Medical physics

Showing 211 to 220 of 732 articles

Framework for dual-energy-like chest radiography image synthesis from single-energy computed tomography based on cycle-consistent generative adversarial network.

Medical physics Mar 17, 2023
BACKGROUND: Dual-energy (DE) chest radiography (CXR) enables the selective imaging of two relevant materials, namely, soft tissue and bone structures, to better characterize various chest pathologies (i.e., lung nodule, bony lesions, etc.) and potent...
Radiography Thorax Artificial Intelligence Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.

Medical physics Mar 13, 2023
BACKGROUND: Dose escalation radiotherapy enables increased control of prostate cancer (PCa) but requires segmentation of dominant index lesions (DIL). This motivates the development of automated methods for fast, accurate, and consistent segmentation...
Deep Learning Magnetic Resonance Imaging Humans Male Radiologists Radiation Oncology Prostatic Neoplasms
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Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.

Medical physics Mar 13, 2023
BACKGROUND: von Hippel-Lindau syndrome (VHL) is an autosomal dominant hereditary syndrome with an increased predisposition of developing numerous cysts and tumors, almost exclusively clear cell renal cell carcinoma (ccRCC). Considering the lifelong s...
Humans Deep Learning Carcinoma, Renal Cell Magnetic Resonance Imaging Cysts Carcinoma Kidney Neoplasms
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Unpaired low-dose computed tomography image denoising using a progressive cyclical convolutional neural network.

Medical physics Mar 10, 2023
BACKGROUND: Reducing the radiation dose from computed tomography (CT) can significantly reduce the radiation risk to patients. However, low-dose CT (LDCT) suffers from severe and complex noise interference that affects subsequent diagnosis and analys...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Radiation Dosage Tomography, X-Ray Computed Signal-To-Noise Ratio
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BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.

Medical physics Feb 28, 2023
PURPOSE: BUS-Set is a reproducible benchmark for breast ultrasound (BUS) lesion segmentation, comprising of publicly available images with the aim of improving future comparisons between machine learning models within the field of BUS.
Image Processing, Computer-Assisted Machine Learning Humans Benchmarking Female Neural Networks, Computer Ultrasonography, Mammary
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Contouring quality assurance methodology based on multiple geometric features against deep learning auto-segmentation.

Medical physics Feb 25, 2023
BACKGROUND: Contouring error is one of the top failure modes in radiation treatment. Multiple efforts have been made to develop tools to automatically detect segmentation errors. Deep learning-based auto-segmentation (DLAS) has been used as a baselin...
Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen.

Medical physics Feb 21, 2023
BACKGROUND: Iterative reconstruction (IR) has increasingly replaced traditional reconstruction methods in computed tomography (CT). The next paradigm shift in image reconstruction is likely to come from artificial intelligence, with deep learning rec...
Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Iodine Deep Learning Abdomen Artificial Intelligence Algorithms
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Technical note: Progressive deep learning: An accelerated training strategy for medical image segmentation.

Medical physics Feb 17, 2023
BACKGROUND: Recent advancements in Deep Learning (DL) methodologies have led to state-of-the-art performance in a wide range of applications especially in object recognition, classification, and segmentation of medical images. However, training moder...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.

Medical physics Feb 16, 2023
BACKGROUND: Measurement of cross-sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmenta...
Reproducibility of Results Cross-Sectional Studies Male Muscle, Skeletal Tomography, X-Ray Computed Female Artificial Intelligence Retrospective Studies Humans
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Segmentation of multiple Organs-at-Risk associated with brain tumors based on coarse-to-fine stratified networks.

Medical physics Feb 16, 2023
BACKGROUND: Delineation of Organs-at-Risks (OARs) is an important step in radiotherapy treatment planning. As manual delineation is time-consuming, labor-intensive and affected by inter- and intra-observer variability, a robust and efficient automati...
Brain Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Organs at Risk Humans
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