AIMC Topic: Deep Learning

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Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

Progress in neuro-psychopharmacology & biological psychiatry Sep 28, 2022
Writing abilities are impacted by dysgraphia, a condition of learning disability. It might be challenging to diagnose dysgraphia at an initial point of a child's upbringing. Problematic abilities linked to Dysgraphia difficulties that is utilized in ...
Humans Agraphia Learning Disabilities Child Handwriting Machine Learning Deep Learning
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iCREPCP: A deep learning-based web server for identifying base-resolution cis-regulatory elements within plant core promoters.

Plant communications Sep 28, 2022
Regulatory Sequences, Nucleic Acid Deep Learning Plants Promoter Regions, Genetic
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Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.

Abdominal radiology (New York) Sep 28, 2022
PURPOSE: Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be wrought with motion artifacts, urging the development of a shorter and more motion robust sequence. We compare the image quality of a single-shot T2-weighted MRI...
Artifacts Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Liver Neoplasms Humans
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Automated Detection of Epiretinal Membranes in OCT Images Using Deep Learning.

Ophthalmic research Sep 28, 2022
INTRODUCTION: Development and validation of a deep learning algorithm to automatically identify and locate epiretinal memberane (ERM) regions in OCT images.
Epiretinal Membrane Tomography, Optical Coherence Retina Humans Retrospective Studies Deep Learning
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An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.

Medical physics Sep 28, 2022
PURPOSE: Task automation is essential for efficient and consistent image segmentation in radiation oncology. We report on a deep learning architecture, comprising a U-Net and a variational autoencoder (VAE) for automatic contouring of the prostate gl...
Uncertainty Deep Learning Image Processing, Computer-Assisted Prostate Humans Radiotherapy Planning, Computer-Assisted Male
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DuDoSS: Deep-learning-based dual-domain sinogram synthesis from sparsely sampled projections of cardiac SPECT.

Medical physics Sep 28, 2022
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission-computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. In clinical practice, the long scanning procedures and acquisition time might induce ...
Tomography, X-Ray Computed Animals Humans Heart Tomography, Emission-Computed, Single-Photon Hominidae Deep Learning Image Processing, Computer-Assisted
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T-SPOT with CT image analysis based on deep learning for early differential diagnosis of nontuberculous mycobacteria pulmonary disease and pulmonary tuberculosis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases Sep 28, 2022
OBJECTIVES: This study aimed to establish a diagnostic algorithm combining T-SPOT with computed tomography image analysis based on deep learning (DL) for early differential diagnosis of nontuberculous mycobacteria pulmonary disease (NTM-PD) and pulmo...
Tomography, X-Ray Computed Deep Learning Diagnosis, Differential Lung Diseases Humans Retrospective Studies Tuberculosis, Pulmonary Nontuberculous Mycobacteria Mycobacterium Infections, Nontuberculous
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AIMIC: Deep Learning for Microscopic Image Classification.

Computer methods and programs in biomedicine Sep 28, 2022
BACKGROUND AND OBJECTIVE: Deep learning techniques are powerful tools for image analysis. However, the lack of programming experience makes it difficult for novice users to apply this technology. This project aims to lower the barrier for clinical us...
Humans Deep Learning Neural Networks, Computer Machine Learning Artificial Intelligence Algorithms
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Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.

Medical & biological engineering & computing Sep 28, 2022
Accurate lung tumor segmentation has great significance in the treatment planning of lung cancer. However, robust lung tumor segmentation becomes challenging due to the heterogeneity of tumors and the similar visual characteristics between tumors and...
Humans Deep Learning Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Lung Neoplasms Thorax
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A Smart Alcoholmeter Sensor Based on Deep Learning Visual Perception.

Sensors (Basel, Switzerland) Sep 28, 2022
Process automation, in general, enables the enhancement of productivity, product quality, and consistency alongside other production metrics. Liquor production on an industrial scale also follows the automation trend. However, small and medium produc...
Image Processing, Computer-Assisted Visual Perception Automation Neural Networks, Computer Deep Learning
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