AIMC Topic: Magnetic Resonance Imaging
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Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity.
NeuroImage
Mar 24, 2022
Reconstructing natural images and decoding their semantic category from fMRI brain recordings is challenging. Acquiring sufficient pairs of images and their corresponding fMRI responses, which span the huge space of natural images, is prohibitive. We...
Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
Computer methods and programs in biomedicine
Mar 23, 2022
BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system. With the development of medical imaging technology, magnetic resonance images (MRI) have been used in the diagnosis and treatment of prostate cancer ...
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance.
La Radiologia medica
Mar 23, 2022
PURPOSE: To evaluate stability and machine learning-based classification performance of radiomic features of spine bone tumors using diffusion- and T2-weighted magnetic resonance imaging (MRI).
Diagnosis of Early Cervical Cancer with a Multimodal Magnetic Resonance Image under the Artificial Intelligence Algorithm.
Contrast media & molecular imaging
Mar 23, 2022
This research was conducted to explore the value of multimodal magnetic resonance imaging (MRI) based on the alternating direction algorithm in the diagnosis of early cervical cancer. 64 patients diagnosed with early cervical cancer clinicopathologic...
Effect of Different Nursing Interventions on Discharged Patients with Cardiac Valve Replacement Evaluated by Deep Learning Algorithm-Based MRI Information.
Contrast media & molecular imaging
Mar 21, 2022
This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image segmentation model based on U-Net in the diagnosis of a valvular heart disease. The effect of continuous nursing on the survival of discharged patients ...
Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence.
Chinese medical journal
Mar 20, 2022
Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework.
Food research international (Ottawa, Ont.)
Mar 19, 2022
The accurate control of moisture content (MC) during the processing of sea cucumber is beneficial to improve the taste of sea cucumber and maintain its nutritional value, which is directly related to the quality and shelf life of sea cucumber. The pu...
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 19, 2022
INTRODUCTION: Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI) scans can address the limitations of the current OA assessment approaches. Detecting and extracting bone, cartilage, and joint fluid is a necessary component f...
Artificial intelligence applied to fetal MRI: A scoping review of current research.
The British journal of radiology
Mar 18, 2022
Artificial intelligence (AI) is defined as the development of computer systems to perform tasks normally requiring human intelligence. A subset of AI, known as machine learning (ML), takes this further by drawing inferences from patterns in data to '...
Artificial intelligence can detect left ventricular dilatation on contrast-enhanced thoracic computer tomography relative to cardiac magnetic resonance imaging.
The British journal of radiology
Mar 18, 2022
OBJECTIVES: To assess the diagnostic accuracy of an automated algorithm to detect left ventricular (LV) dilatation on non-ECG gated CT, using cardiac magnetic resonance (CMR) as reference standard.
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