AIMC Journal:
Computer methods and programs in biomedicine

Showing 351 to 360 of 844 articles

Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques.

Computer methods and programs in biomedicine May 16, 2022
BACKGROUND: Embryo morphology is a predictive marker for implantation success and ultimately live births. Viability evaluation and quality grading are commonly used to select the embryo with the highest implantation potential. However, the traditiona...
Humans Insemination Artificial Intelligence Embryo Implantation Deep Learning Time-Lapse Imaging
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WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.

Computer methods and programs in biomedicine May 14, 2022
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic is a major global health crisis of this century. The use of neural networks with CT imaging can potentially improve clinicians' efficiency in diagnosis. Previous studies in this field have primarily foc...
Humans Lung Image Processing, Computer-Assisted Pandemics Supervised Machine Learning COVID-19
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A deep learning framework to classify breast density with noisy labels regularization.

Computer methods and programs in biomedicine May 12, 2022
BACKGROUND AND OBJECTIVE: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data System (BI-RADS) categories. Supervis...
Breast Neoplasms Deep Learning Mammography Breast Humans Female Breast Density
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Medical deep learning-A systematic meta-review.

Computer methods and programs in biomedicine May 11, 2022
Deep learning has remarkably impacted several different scientific disciplines over the last few years. For example, in image processing and analysis, deep learning algorithms were able to outperform other cutting-edge methods. Additionally, deep lea...
Deep Learning Image Processing, Computer-Assisted Algorithms Humans
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A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.

Computer methods and programs in biomedicine May 10, 2022
Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnosing kidney diseases. However, with the rapid increase in CT images, such interpretations were required considerable time and effort, producing inconsi...
Deep Learning Image Processing, Computer-Assisted Kidney Tomography, X-Ray Computed Neoplasms Humans
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Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation.

Computer methods and programs in biomedicine May 10, 2022
BACKGROUND AND OBJECTIVE: Bronchopulmonary dysplasia is a common respiratory disease in premature infants. The severity is diagnosed at the 56th day after birth or discharge by analyzing the clinical indicators, which may cause the delay of the best ...
Humans Tomography, X-Ray Computed Bronchopulmonary Dysplasia Deep Learning Infant, Newborn Infant X-Rays Oxygen Infant, Premature Image Processing, Computer-Assisted
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MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.

Computer methods and programs in biomedicine May 8, 2022
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) has become increasingly important for alleviating X-ray radiation damage. However, reducing the administered radiation dose may lead to degraded CT images with amplified mottle noise and n...
Artifacts Signal-To-Noise Ratio Neural Networks, Computer Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images.

Computer methods and programs in biomedicine May 8, 2022
This paper proposes an encoder-decoder architecture for kidney segmentation. A hyperparameter optimization process is implemented, including the development of a model architecture, selecting a windowing method and a loss function, and data augmentat...
Artificial Intelligence Image Processing, Computer-Assisted Tomography, X-Ray Computed Kidney Deep Learning
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach.

Computer methods and programs in biomedicine May 4, 2022
BACKGROUND AND OBJECTIVE: Medical imaging techniques are widely employed in disease diagnosis and treatment. A readily available medical report can be a useful tool in assisting an expert for investigating the patient's health. A radiologist can bene...
Humans Neural Networks, Computer Radiography Software Semantics Algorithms
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Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.

Computer methods and programs in biomedicine Apr 27, 2022
OBJECTIVE: A retina optical coherence tomography (OCT) image differs from a traditional image due to its significant speckle noise, irregularity, and inconspicuous features. A conventional deep learning architecture cannot effectively improve the cla...
Retina Artificial Intelligence Tomography, Optical Coherence Neural Networks, Computer
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