AIMC Journal:
Medical physics

Showing 291 to 300 of 732 articles

Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.

Medical physics May 20, 2022
PURPOSE: Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep-learning-based methods have shown exceptional success in this task. However, current approaches are still inadequat...
ROC Curve Image Processing, Computer-Assisted Retinal Vessels Neural Networks, Computer Algorithms
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Phase recognition in contrast-enhanced CT scans based on deep learning and random sampling.

Medical physics May 18, 2022
PURPOSE: A fully automated system for interpreting abdominal computed tomography (CT) scans with multiple phases of contrast enhancement requires an accurate classification of the phases. Current approaches to classify the CT phases are commonly base...
Kidney Neoplasms Carcinoma, Renal Cell Humans Tomography, X-Ray Computed Neural Networks, Computer Deep Learning
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A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with Kr-gas SPECT ventilation imaging.

Medical physics May 17, 2022
PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)-based computed tomography (CT) ventilation imaging (CTVI).
Tomography, Emission-Computed, Single-Photon Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Pulmonary Ventilation Lung Deep Learning
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Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.

Medical physics May 11, 2022
BACKGROUND: Dose deposition characteristics of proton radiation can be advantageous over photons. Proton treatment planning, however, poses additional challenges for the planners. Proton therapy is usually delivered with only a small number of beam a...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Pilot Projects Liver Protons Radiotherapy, Intensity-Modulated Proton Therapy Humans Deep Learning
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Registration-guided deep learning image segmentation for cone beam CT-based online adaptive radiotherapy.

Medical physics May 4, 2022
PURPOSE: Adaptive radiotherapy (ART), especially online ART, effectively accounts for positioning errors and anatomical changes. One key component of online ART process is accurately and efficiently delineating organs at risk (OARs) and targets on on...
Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Cone-Beam Computed Tomography Algorithms Image Processing, Computer-Assisted Deep Learning
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Automated estimation of total lung volume using chest radiographs and deep learning.

Medical physics Apr 18, 2022
BACKGROUND: Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.
Radiography, Thoracic Thorax Lung Deep Learning Humans Lung Volume Measurements Retrospective Studies
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An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.

Medical physics Apr 18, 2022
OBJECTIVES: Artificial intelligence (AI) has been proved to be a highly efficient tool for COVID-19 diagnosis, but the large data size and heavy label force required for algorithm development and the poor generalizability of AI algorithms, to some ex...
Retrospective Studies SARS-CoV-2 Artificial Intelligence Pneumonia COVID-19 Humans Deep Learning COVID-19 Testing
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Cervical optical coherence tomography image classification based on contrastive self-supervised texture learning.

Medical physics Apr 13, 2022
BACKGROUND: Cervical cancer (CC) seriously affects the health of the female reproductive system. Optical coherence tomography (OCT) emerged as a noninvasive, high-resolution imaging technology for cervical disease detection. However, OCT image annota...
Cervix Uteri Neural Networks, Computer Tomography, Optical Coherence Female Humans
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Medical lesion segmentation by combining multimodal images with modality weighted UNet.

Medical physics Apr 7, 2022
PURPOSE: Automatic segmentation of medical lesions is a prerequisite for efficient clinic analysis. Segmentation algorithms for multimodal medical images have received much attention in recent years. Different strategies for multimodal combination (o...
Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer Liver
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A U-snake based deep learning network for right ventricle segmentation.

Medical physics Mar 30, 2022
PURPOSE: Ventricular segmentation is of great importance for the heart condition monitoring. However, manual segmentation is time-consuming, cumbersome, and subjective. Many segmentation methods perform poorly due to the complex structure and uncerta...
Heart Ventricles Snakes Humans Deep Learning Animals Image Processing, Computer-Assisted
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