AIMC Topic: Organ Size

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Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy Through Deep Learning-Based Coarse-to-Fine Shape Estimation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jul 9, 2024
Accurate and continuous bladder volume monitoring is crucial for managing urinary dysfunctions. Wearable ultrasound (US) devices offer a solution by enabling noninvasive and real-time monitoring. Previous studies have limitations in power consumption...
Humans Algorithms Female Adult Male Middle Aged Deep Learning Wearable Electronic Devices Ultrasonography Organ Size Urinary Bladder
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Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model.

Journal of imaging informatics in medicine Jul 2, 2024
Abnormalities in adrenal gland size may be associated with various diseases. Monitoring the volume of adrenal gland can provide a quantitative imaging indicator for such conditions as adrenal hyperplasia, adrenal adenoma, and adrenal cortical adenoca...
Adrenal Glands Deep Learning Image Processing, Computer-Assisted Organ Size Humans Tomography, X-Ray Computed
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BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.

International journal of computer assisted radiology and surgery Jun 16, 2024
PURPOSE: MRI-derived brain volume loss (BVL) is widely used as neurodegeneration marker. SIENA is state-of-the-art for BVL measurement, but limited by long computation time. Here we propose "BrainLossNet", a convolutional neural network (CNN)-based m...
Adult Male Middle Aged Imaging, Three-Dimensional Humans Neural Networks, Computer Brain Female Magnetic Resonance Imaging Organ Size
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Predicting Reduction Mammaplasty Total Resection Weight With Machine Learning.

Annals of plastic surgery Jun 4, 2024
BACKGROUND: Machine learning (ML) is a form of artificial intelligence that has been used to create better predictive models in medicine. Using ML algorithms, we sought to create a predictive model for breast resection weight based on anthropometric ...
Adult Middle Aged Machine Learning Body Mass Index Breast Algorithms Organ Size Mammaplasty Retrospective Studies Humans Female
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MRI-based Deep Learning Models for Preoperative Breast Volume and Density Assessment Assisting Breast Reconstruction.

Aesthetic plastic surgery May 28, 2024
BACKGROUND: The volume of the implant is the most critical element of breast reconstruction, so it is necessary to accurately assess the preoperative volume of the healthy and affected breasts and select the appropriate implant for placement. Accurat...
Preoperative Care Breast Density Middle Aged Organ Size Female Humans Deep Learning Breast Reproducibility of Results Algorithms Magnetic Resonance Imaging Breast Implants Adult Retrospective Studies Mammaplasty Breast Neoplasms
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Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study.

BMJ open May 22, 2024
OBJECTIVES: We aimed to develop an automated method for measuring the volume of the psoas muscle using CT to aid sarcopenia research efficiently.
Tomography, X-Ray Computed Deep Learning Female Adult Reproducibility of Results Sarcopenia Humans Cross-Sectional Studies Organ Size Aged Male Psoas Muscles Middle Aged
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Points of interest linear attention network for real-time non-rigid liver volume to surface registration.

Medical physics May 17, 2024
BACKGROUND: In laparoscopic liver surgery, accurately predicting the displacement of key intrahepatic anatomical structures is crucial for informing the doctor's intraoperative decision-making. However, due to the constrained surgical perspective, on...
Organ Size Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted Liver Humans Neural Networks, Computer Tomography, X-Ray Computed
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Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement.

Magma (New York, N.Y.) May 17, 2024
OBJECTIVE: This study investigated the feasibility of using deep learning-based super-resolution (DL-SR) technique on low-resolution (LR) images to generate high-resolution (HR) MR images with the aim of scan time reduction. The efficacy of DL-SR was...
Humans Algorithms Brain Female Magnetic Resonance Imaging Adult Organ Size Deep Learning Male Feasibility Studies Imaging, Three-Dimensional Signal-To-Noise Ratio Image Processing, Computer-Assisted
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Comparative assessment of established and deep learning-based segmentation methods for hippocampal volume estimation in brain magnetic resonance imaging analysis.

NMR in biomedicine May 7, 2024
In this study, our objective was to assess the performance of two deep learning-based hippocampal segmentation methods, SynthSeg and TigerBx, which are readily available to the public. We contrasted their performance with that of two established tech...
Alzheimer Disease Hippocampus Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Organ Size Female Reproducibility of Results Adult Aged Male Middle Aged Deep Learning
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PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI.

La Radiologia medica May 3, 2024
PURPOSE: High PSMA expression might be correlated with structural characteristics such as growth patterns on histopathology, not recognized by the human eye on MRI images. Deep structural image analysis might be able to detect such differences and th...
Positron-Emission Tomography Antigens, Surface Gallium Radioisotopes Glutamate Carboxypeptidase II Prostatic Neoplasms Prostate Radiopharmaceuticals Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging Organ Size Predictive Value of Tests Humans Retrospective Studies
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