AIMC Topic: Algorithms

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[Artificial intelligence in the diagnosis of prostate cancer].

Arkhiv patologii
To discuss the possibilities and prospects of using artificial intelligence (AI) in the diagnosis of prostate cancer (PC). The laboratory diagnosis of PC is considered and prostate images are analyzed according to transrectal ultrasound and magnetic ...

Deep learning supported disease detection with multi-modality image fusion.

Journal of X-ray science and technology
Multi-modal image fusion techniques aid the medical experts in better disease diagnosis by providing adequate complementary information from multi-modal medical images. These techniques enhance the effectiveness of medical disorder analysis and class...

Predicting Metabolic Reaction Networks with Perturbation-Theory Machine Learning (PTML) Models.

Current topics in medicinal chemistry
BACKGROUND: Checking the connectivity (structure) of complex Metabolic Reaction Networks (MRNs) models proposed for new microorganisms with promising properties is an important goal for chemical biology.

Texture classification based on image (natural and horizontal) visibility graph constructing methods.

Chaos (Woodbury, N.Y.)
Texture classification is widely used in image analysis and some other related fields. In this paper, we designed a texture classification algorithm, named by TCIVG (Texture Classification based on Image Visibility Graph), based on a newly proposed i...

Method for determining load magnitude and location from the plastic deformation of fixed beams using a neural network.

Science progress
Fixed beam structures are widely used in engineering, and a common problem is determining the load conditions of these structures resulting from impact loads. In this study, a method for accurately identifying the location and magnitude of the load c...

Research on trajectory tracking control of 7-DOF picking manipulator.

Science progress
In order to solve the problem of poor robustness of the traditional method of calculating torque in the mechanical model of 7-DOF picking manipulator, this paper proposes a control strategy of calculating torque plus fuzzy compensation by using adapt...

Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

The Lancet. Digital health
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...

A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Methods in molecular biology (Clifton, N.J.)
Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Many technologies, methods, and tools have been developed for epistasis detection. Multifactor dimensionality reduction (MDR) is the method commonly used...

Age prediction based on a small number of facial landmarks and texture features.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Age is an essential feature of people, so the study of facial aging should have particular significance.

Robust deep learning pipeline for PVC beats localization.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Premature ventricular contraction (PVC) is among the most frequently occurring types of arrhythmias. Existing approaches for automated PVC identification suffer from a range of disadvantages related to hand-crafted features and benchmarki...