AIMC Topic: Algorithms

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Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists' readings.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Deep learning algorithms (DLAs) could enable automatic measurements of solid portions of mixed ground-glass nodules (mGGNs) in agreement with the invasive component sizes measured during pathologic examinations. However, the measurement o...

Incorporating the image formation process into deep learning improves network performance.

Nature methods
We present Richardson-Lucy network (RLN), a fast and lightweight deep learning method for three-dimensional fluorescence microscopy deconvolution. RLN combines the traditional Richardson-Lucy iteration with a fully convolutional network structure, es...

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport.

Sensors (Basel, Switzerland)
The automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantitie...

Value assessment of artificial intelligence in medical imaging: a scoping review.

BMC medical imaging
BACKGROUND: Artificial intelligence (AI) is seen as one of the major disrupting forces in the future healthcare system. However, the assessment of the value of these new technologies is still unclear, and no agreed international health technology ass...

Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.

Physiological measurement
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early prevention and diagnosis of cardiovascular diseases. With the increase in widely available digital ECG data and the development of deep learning, multi-...

Artificial intelligence-based algorithm for cervical vertebrae maturation stage assessment.

Orthodontics & craniofacial research
OBJECTIVE: The aim of this study was to develop an artificial intelligence (AI) algorithm to automatically and accurately determine the stage of cervical vertebra maturation (CVM) with the main purpose being to eliminate the human error factor.

Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education.

Academic radiology
RATIONALE AND OBJECTIVES: To evaluate the effectiveness of an artificial intelligence (AI) in radiology literacy course on participants from nine radiology residency programs in the Southeast and Mid-Atlantic United States.

Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.

International journal of molecular sciences
Determining and modeling the possible behaviour and actions of molecules requires investigating the basic structural features and physicochemical properties that determine their behaviour during chemical, physical, biological, and environmental proce...

SAM-X: sorting algorithm for musculoskeletal x-ray radiography.

European radiology
OBJECTIVE: To develop a two-phased deep learning sorting algorithm for post-X-ray image acquisition in order to facilitate large musculoskeletal image datasets according to their anatomical entity.

A review of critical challenges in MI-BCI: From conventional to deep learning methods.

Journal of neuroscience methods
Brain-computer interfaces (BCIs) have achieved significant success in controlling external devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor Imagery (MI) system bridges brain and external devices as communication tools...