AIMC Topic: Algorithms

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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...

The Utility of Unsupervised Machine Learning in Anatomic Pathology.

American journal of clinical pathology
OBJECTIVES: Developing accurate supervised machine learning algorithms is hampered by the lack of representative annotated datasets. Most data in anatomic pathology are unlabeled and creating large, annotated datasets is a time consuming and laboriou...

Learning to Discover Explainable Clinical Features With Minimum Supervision.

Translational vision science & technology
PURPOSE: To compare supervised transfer learning to semisupervised learning for their ability to learn in-depth knowledge with limited data in the optical coherence tomography (OCT) domain.

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...

Lung Cancer Detection Using Machine Learning Techniques.

Critical reviews in biomedical engineering
Cancer has been the deadliest of diseases since decades constituting a large number of deaths annually. Lung cancer remains one of the most significant public health issues, accounting for a substantial proportion of cancer-related deaths globally. D...

Optimized Deep Learning for the Classification of Parkinson's Disease Based on Voice Features.

Critical reviews in biomedical engineering
Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous demand for adapting vocal features to determine PD in an earlier stage. This paper devises a technique to diagnose PD using voice signals. Initially, the voice sig...

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...

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 ...

Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach.

Health informatics journal
Avatar Therapy (AT) is a modern therapeutic alternative for patients with schizophrenia suffering from persistent auditory verbal hallucinations. Its intrinsic therapeutical process is currently qualitatively analyzed via human coders that annotate s...