AIMC Topic:
Image Interpretation, Computer-Assisted

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Evaluation of synthetic images derived from a neural network in pediatric brain magnetic resonance imaging.

Magnetic resonance imaging Sep 1, 2025
UNLABELLED: Synthetic MRI (SyMRI) is a technique used to estimate tissue properties and generate multiple MR sequence contrasts from a single acquisition. However, image quality can be suboptimal.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Artifacts Gray Matter Signal-To-Noise Ratio White Matter Infant Adolescent Child, Preschool Child Prospective Studies Brain Female Male Humans Neural Networks, Computer Artificial Intelligence
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Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo.

Magnetic resonance imaging Sep 1, 2025
OBJECTIVES: This study aims to evaluate the feasibility and effectiveness of deep learning-based super-resolution techniques to reduce scan time while preserving image quality in high-resolution prostate diffusion-weighted imaging (DWI) with readout-...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Algorithms Prospective Studies Retrospective Studies Reproducibility of Results Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans
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Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI.

Magnetic resonance imaging Sep 1, 2025
PURPOSE: To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine fo...
Humans Female Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging ROC Curve Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Breast Image Interpretation, Computer-Assisted Ki-67 Antigen Breast Neoplasms Reproducibility of Results Radiomics Middle Aged Aged Deep Learning Adult Sensitivity and Specificity
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Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging Sep 1, 2025
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a combination of imaging signal intensity (SI) and cross-sectional area measurements of the healing AC...
Young Adult Anterior Cruciate Ligament Injuries Metals Humans Adult Anterior Cruciate Ligament Magnetic Resonance Imaging Sensitivity and Specificity Algorithms Anterior Cruciate Ligament Reconstruction Image Interpretation, Computer-Assisted Male Artifacts Female Reproducibility of Results
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Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study.

European journal of radiology Aug 1, 2025
OBJECTIVE: Predicting early recurrence (ER) in locally advanced rectal cancer (LARC) is critical for clinical decision-making. This study aimed at comparing clinical, deep learning (DL), radiomics, and two fusion models for ER prediction based on mul...
Retrospective Studies Female Aged Adult Humans Prognosis Magnetic Resonance Imaging Neoplasm Recurrence, Local Rectal Neoplasms Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging Radiomics Male Middle Aged Deep Learning
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A robust automated segmentation method for white matter hyperintensity of vascular-origin.

NeuroImage Jul 15, 2025
White matter hyperintensity (WMH) is a primary manifestation of small vessel disease (SVD), leading to vascular cognitive impairment and other disorders. Accurate WMH quantification is vital for diagnosis and prognosis, but current automatic segmenta...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neuroimaging Male Humans Cerebral Small Vessel Diseases White Matter Middle Aged Female Deep Learning Aged Image Processing, Computer-Assisted Aged, 80 and over
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Artificial intelligence based malignant lymphoma type prediction using enhanced super resolution image and hybrid feature extraction algorithm.

Computers in biology and medicine Jul 1, 2025
In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately predicting and early response to lymphoma treatment will be useful for initiating treatment plans to achieve a greater rate of cure or reduced risk of tre...
Male Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Fluorodeoxyglucose F18 Lymphoma Neural Networks, Computer Positron-Emission Tomography Artificial Intelligence Algorithms Female
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Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet.

Computers in biology and medicine Jul 1, 2025
Digital pathology relies on the morphological architecture of prostate glands to recognize cancerous tissue. Prostate cancer (PCa) originates in walnut shaped prostate gland in the male reproductive system. Deep learning (DL) pipelines can assist in ...
Magnetic Resonance Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Male Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted
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MHS U-Net: Multi-scale hybrid subtraction network for medical image segmentation.

Computers in biology and medicine Jul 1, 2025
Medical image segmentation plays a critical role in modern clinical diagnosis. However, existing methods face challenges such as insufficient feature extraction, limited spatial modeling capabilities, and restricted generalization ability with low co...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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CancerNet: A comprehensive deep learning framework for precise and intelligible cancer identification.

Computers in biology and medicine Jul 1, 2025
The medical community continually seeks innovative solutions to address healthcare challenges, particularly in cancer detection. A promising approach involves the use of Artificial Intelligence (AI) techniques, specifically Deep Learning (DL) models....
Humans Databases, Factual Neoplasms Deep Learning Image Processing, Computer-Assisted Glioma Image Interpretation, Computer-Assisted
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