AIMC Topic: Neural Networks, Computer

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Deep neural learning based protein function prediction.

Mathematical biosciences and engineering : MBE
It is vital for the annotation of uncharacterized proteins by protein function prediction. At present, Deep Neural Network based protein function prediction is mainly carried out for dataset of small scale proteins or Gene Ontology, and usually explo...

A neural surveyor to map touch on the body.

Proceedings of the National Academy of Sciences of the United States of America
Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touc...

TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.

Bioinformatics (Oxford, England)
MOTIVATION: Drug response prediction (DRP) plays an important role in precision medicine (e.g. for cancer analysis and treatment). Recent advances in deep learning algorithms make it possible to predict drug responses accurately based on genetic prof...

Bone age assessment from lateral cephalograms using deep learning algorithms in the Indian population.

Indian journal of dental research : official publication of Indian Society for Dental Research
PURPOSE: The assessment of bone age has applications in a wide variety of fields: from orthodontics to immigration. The traditional non-automated methods are time-consuming and subject to inter- and intra-observer variability. This is the first study...

Artificial neural networks and computer vision in medicine and surgery.

Rozhledy v chirurgii : mesicnik Ceskoslovenske chirurgicke spolecnosti
Introduction: Artificial neural networks are becoming an essential technology in data analysis, and their influence is starting to permeate the field of medicine. Experimental surgery has been a long-term subject of study of our lab; this is naturall...

Intelligent identification of film on cotton based on hyperspectral imaging and convolutional neural network.

Science progress
The identification of the film on cotton is of great significance for the improvement of cotton quality. Most of the existing technologies are dedicated to removing colored foreign fibers from cotton using photoelectric sorting methods. However, the ...

Artificial Intellgence in the Era of Precision Oncological Imaging.

Technology in cancer research & treatment
Rapid-paced development and adaptability of artificial intelligence algorithms have secured their almost ubiquitous presence in the field of oncological imaging. Artificial intelligence models have been created for a variety of tasks, including risk ...

CNN Features and Optimized Generative Adversarial Network for COVID-19 Detection from Chest X-Ray Images.

Critical reviews in biomedical engineering
Coronavirus is a RNA type virus, which makes various respiratory infections in both human as well as animals. In addition, it could cause pneumonia in humans. The Coronavirus affected patients has been increasing day to day, due to the wide spread of...

Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis.

Science progress
The rotating component is an important part of the modern mechanical equipment, and its health status has a great impact on whether the equipment can safely operate. In recent years, convolutional neural network has been widely used to identify the h...

Identification of colorectal cancer using structured and free text clinical data.

Health informatics journal
Colorectal cancer incidence has continually fallen among those 50 years old and over. However, the incidence has increased in those under 50. Even with the recent screening guidelines recommending that screening begins at age 45, nearly half of all e...