AIMC Topic: Benchmarking

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A benchmark study of deep learning-based multi-omics data fusion methods for cancer.

Genome biology Aug 9, 2022
BACKGROUND: A fused method using a combination of multi-omics data enables a comprehensive study of complex biological processes and highlights the interrelationship of relevant biomolecules and their functions. Driven by high-throughput sequencing t...
Humans Algorithms Cluster Analysis Benchmarking Neoplasms Deep Learning
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An effective behavior recognition method in the video session using convolutional neural network.

PloS one Aug 1, 2022
In order to further improve the accuracy of the video-based behavior recognition method, an effective behavior recognition method in the video session using convolutional neural network is proposed. Specifically, by adding the target detection phase ...
Benchmarking Humans Neural Networks, Computer Algorithms
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Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.

Scientific reports Jul 27, 2022
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarkably increased in number recently. Since training and validation are often performed on subsets of the same overall dataset, external validation is man...
Retrospective Studies Benchmarking Algorithms Radiography, Thoracic Pneumothorax Humans Artificial Intelligence
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Automatically Annotated Dataset of a Ground Mobile Robot in Natural Environments via Gazebo Simulations.

Sensors (Basel, Switzerland) Jul 26, 2022
This paper presents a new synthetic dataset obtained from Gazebo simulations of an Unmanned Ground Vehicle (UGV) moving on different natural environments. To this end, a Husky mobile robot equipped with a tridimensional (3D) Light Detection and Rangi...
Benchmarking Environment Reactive Oxygen Species Robotics Software Humans
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Accurate somatic variant detection using weakly supervised deep learning.

Nature communications Jul 22, 2022
Identification of somatic mutations in tumor samples is commonly based on statistical methods in combination with heuristic filters. Here we develop VarNet, an end-to-end deep learning approach for identification of somatic variants from aligned tumo...
Humans Algorithms High-Throughput Nucleotide Sequencing Neoplasms Deep Learning Benchmarking
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MetaAge: Meta-Learning Personalized Age Estimators.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 14, 2022
Different people age in different ways. Learning a personalized age estimator for each person is a promising direction for age estimation given that it better models the personalization of aging processes. However, most existing personalized methods ...
Benchmarking Humans Aging Machine Learning Databases, Factual
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Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space.

Nature communications Jul 1, 2022
Therapeutic antibody development requires selection and engineering of molecules with high affinity and other drug-like biophysical properties. Co-optimization of multiple antibody properties remains a difficult and time-consuming process that impede...
Biophysics Complementarity Determining Regions Benchmarking Machine Learning Antibody Affinity
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CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier.

Computational intelligence and neuroscience Jun 27, 2022
In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a convolutional neural network technique that included a local binary pattern and a multilayered support vector machine. The detection and classification...
Engineering Humans Support Vector Machine Algorithms Brain Neoplasms Benchmarking
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Boosted Sine Cosine Algorithm with Application to Medical Diagnosis.

Computational and mathematical methods in medicine Jun 22, 2022
The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obtain the optimal solution is mainly through the continuous iteration of the sine and cosine update formulas. However, SCA also faces low population div...
Support Vector Machine Mutation Benchmarking Problem Solving Humans Algorithms
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Towards a guideline for evaluation metrics in medical image segmentation.

BMC research notes Jun 20, 2022
In the last decade, research on artificial intelligence has seen rapid growth with deep learning models, especially in the field of medical image segmentation. Various studies demonstrated that these models have powerful prediction capabilities and a...
ROC Curve Benchmarking Algorithms Artificial Intelligence Image Processing, Computer-Assisted Reproducibility of Results
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