Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Computed Tomography Angiography under Deep Learning in the Treatment of Atherosclerosis with Rapamycin.

The clinical characteristics and vascular computed tomography (CT) imaging characteristics of patien...

Jul 2021 34336152
Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.

PURPOSE: In this study, we developed radiomic models that utilize a combination of imaging features ...

Jul 2021 34286371
Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method.

This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle h...

Jul 2021 34290333
A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images.

Public aquariums and similar institutions often use video as a method to monitor the behavior, healt...

Jul 2021 34372202
MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule.

This study focused on the application value of MRI images processed by a Support Vector Machine (SVM...

Jul 2021 34377105
Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.

This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) ima...

Jul 2021 34381322
Machine learning in optical coherence tomography angiography.

Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging...

Jul 2021 34279136
Interpretable deep learning as a means for decrypting disease signature in multiple sclerosis.

The mechanisms driving multiple sclerosis (MS) are still largely unknown, calling for new methods al...

Jul 2021 34181581
Populational and individual information based PET image denoising using conditional unsupervised learning.

Our study aims to improve the signal-to-noise ratio of positron emission tomography (PET) imaging us...

Jul 2021 34198277
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.

Quantitative susceptibility mapping (QSM) and R2* mapping are MRI post-processing methods that quant...

Jul 2021 34280526
Contrast-enhanced to noncontrast CT transformation via an adjacency content-transfer-based deep subtraction residual neural network.

To reduce overall patient radiation exposure in some clinical scenarios (since cancer patients need ...

Jul 2021 34077922
Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.

BACKGROUND: Manual delineation of gross tumor volume (GTV) is essential for radiotherapy treatment p...

Jul 2021 34264157
Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.

The purpose of our study was to develop a radiomics model based on preoperative MRI and clinical in...

Jul 2021 34259544
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.

Unmasking the decision making process of machine learning models is essential for implementing diagn...

Jul 2021 34262044
Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network.

Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperat...

Jul 2021 34262088
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning.

OBJECTIVES: Multiple b-value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitati...

Jul 2021 34255160
Y-net: a reducing gaussian noise convolutional neural network for MRI brain tumor classification with NADE concatenation.

Brain tumors are among the most serious cancers that can have a negative impact on a person's qualit...

Jul 2021 34198284
[MRI-guided minimally invasive treatment of prostate cancer].

CLINICAL/METHODOLOGICAL ISSUE: Multiparametric magnetic resonance imaging (mpMRI) of the prostate pl...

Jul 2021 34251481
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.

PURPOSE: Brain Magnetic Resonance Images (MRIs) are essential for the diagnosis of neurological dise...

Jul 2021 34251654
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