AIMC Topic: Benchmarking

Clear Filters Showing 431 to 440 of 462 articles

Performance of deep learning in classifying malignant primary and metastatic brain tumors using different MRI sequences: A medical analysis study.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: Malignant Primary Brain Tumor (MPBT) and Metastatic Brain Tumor (MBT) are the most common types of brain tumors, which require different management approaches. Magnetic Resonance Imaging (MRI) is the most frequently used modality for asse...
Deep Learning Magnetic Resonance Imaging Benchmarking Brain Humans Brain Neoplasms
View on PubMed DOI

Multi-treatment Effect Estimation from Biomedical Data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2023
Several biomedical applications contain multiple treatments from which we want to estimate the causal effect on a given outcome. Most existing Causal Inference methods, however, focus on single treatments. In this work, we propose a neural network th...
Computational Biology Benchmarking Neural Networks, Computer Machine Learning Humans
View on PubMed

A benchmark for automatic medical consultation system: frameworks, tasks and datasets.

Bioinformatics (Oxford, England) Jan 1, 2023
MOTIVATION: In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience. In this article, we propose two frameworks to support automatic medical consultatio...
Humans Benchmarking Machine Learning Referral and Consultation
View on PubMed DOI

DeepST: identifying spatial domains in spatial transcriptomics by deep learning.

Nucleic acids research Dec 9, 2022
Recent advances in spatial transcriptomics (ST) have brought unprecedented opportunities to understand tissue organization and function in spatial context. However, it is still challenging to precisely dissect spatial domains with similar gene expres...
Humans Deep Learning Benchmarking Gene Expression Profiling Transcriptome
View on PubMed DOI

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.

Bioinformatics (Oxford, England) Sep 15, 2022
MOTIVATION: Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them. The high performance of modern neural network-based MRC sy...
Comprehension Benchmarking Humans Neural Networks, Computer
View on PubMed DOI

SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical data.

GigaScience Jul 30, 2022
Survival analysis is a branch of statistics that deals with both the tracking of time and the survival status simultaneously as the dependent response. Current comparisons of survival model performance mostly center on clinical data with classic stat...
Algorithms Machine Learning Survival Analysis Benchmarking Proportional Hazards Models
View on PubMed DOI

Chinese medical dialogue information extraction via contrastive multi-utterance inference.

Briefings in bioinformatics Jul 18, 2022
Medical Dialogue Information Extraction (MDIE) is a promising task for modern medical care systems, which greatly facilitates the development of many real-world applications such as electronic medical record generation, automatic disease diagnosis, e...
Benchmarking Information Storage and Retrieval Deep Learning China Electronic Health Records
View on PubMed DOI

A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Advanced deep learning (DL) algorithms may predict the patient's risk of developing breast cancer based on the Breast Imaging Reporting and Data System (BI-RADS) and density standards. Recent studies have suggested that the combination of multi-view ...
Female Breast Neoplasms Deep Learning Mammography Humans Benchmarking Breast
View on PubMed DOI

Review of the Performance Metrics for Natural Language Systems for Clinical Trials Matching.

Studies in health technology and informatics Jun 6, 2022
Natural Language Processing (NLP) has been adopted widely in clinical trial matching for its ability to process unstructured text that is often found in electronic health records. Despite the rise in the new tools that use NLP to match patients to el...
Electronic Health Records Benchmarking Humans Language Natural Language Processing
View on PubMed DOI

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network.

Briefings in bioinformatics Nov 5, 2021
Motif identification is among the most common and essential computational tasks for bioinformatics and genomics. Here we proposed a novel convolutional layer for deep neural network, named variable convolutional (vConv) layer, for effective motif ide...
High-Throughput Nucleotide Sequencing Nucleotide Motifs Algorithms Amino Acid Motifs Benchmarking Deep Learning Humans Neural Networks, Computer Genomics Software Computational Biology
View on PubMed DOI
Popular Topics
Recent Journals