AIMC Topic: Datasets as Topic

Clear Filters Showing 61 to 70 of 1087 articles

NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation.

IEEE journal of biomedical and health informatics Jun 6, 2024
Germectomy is a common surgery in pediatric dentistry to prevent the potential dangers caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is a crucial step in surgery planning. However, manually segmenting teeth and b...
Algorithms Databases, Factual Deep Learning Humans Imaging, Three-Dimensional Mandible Child Benchmarking Molar, Third Datasets as Topic Cone-Beam Computed Tomography
View on PubMed DOI

DREAMER: a computational framework to evaluate readiness of datasets for machine learning.

BMC medical informatics and decision making Jun 4, 2024
BACKGROUND: Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of dataset quality stands as a pivotal precursor to the successful deployment of ML mode...
Supervised Machine Learning Datasets as Topic Humans Algorithms Unsupervised Machine Learning Machine Learning Software
View on PubMed DOI

Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset.

eNeuro May 30, 2024
The Enhanced-Deep-Super-Resolution (EDSR) model is a state-of-the-art convolutional neural network suitable for improving image spatial resolution. It was previously trained with general-purpose pictures and then, in this work, tested on biomedical m...
Datasets as Topic Aged Brain Humans Adult Retrospective Studies Image Processing, Computer-Assisted Neural Networks, Computer Female Male Middle Aged Magnetic Resonance Imaging Deep Learning
View on PubMed DOI

A whole-slide foundation model for digital pathology from real-world data.

Nature May 22, 2024
Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise tens of thousands of image tiles. Prior models have often resorted to subsampling a small portion of tiles for each slide, thus missing the important ...
Datasets as Topic Pathology, Clinical Neoplasms Humans Image Processing, Computer-Assisted Machine Learning Benchmarking Female Male
View on PubMed DOI

A refined approach for evaluating small datasets via binary classification using machine learning.

PloS one May 21, 2024
Classical statistical analysis of data can be complemented or replaced with data analysis based on machine learning. However, in certain disciplines, such as education research, studies are frequently limited to small datasets, which raises several q...
Humans Datasets as Topic Machine Learning Algorithms
View on PubMed DOI

BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning.

BMC medical informatics and decision making May 16, 2024
BACKGROUND: Chest X-ray imaging based abnormality localization, essential in diagnosing various diseases, faces significant clinical challenges due to complex interpretations and the growing workload of radiologists. While recent advances in deep lea...
Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Datasets as Topic Radiography, Thoracic
View on PubMed DOI

Vein pattern visualisation for biometric identification with cGAN on a New Zealand dataset.

Forensic science international May 10, 2024
Forensic identification using vein patterns in standard colour images presents significant challenges due to their low visibility. Recent efforts have employed various computational techniques, including artificial neural networks and optical vein di...
Veins New Zealand Datasets as Topic Humans Young Adult Biometric Identification Adolescent Adult Image Processing, Computer-Assisted Male Color Middle Aged Neural Networks, Computer Female Aged
View on PubMed DOI

Pseudo-class part prototype networks for interpretable breast cancer classification.

Scientific reports May 6, 2024
Interpretability in machine learning has become increasingly important as machine learning is being used in more and more applications, including those with high-stakes consequences such as healthcare where Interpretability has been regarded as a key...
Breast Neoplasms Deep Learning Cluster Analysis Datasets as Topic Data Curation Pathology, Clinical Female Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer
View on PubMed DOI

Deep Survival Analysis With Latent Clustering and Contrastive Learning.

IEEE journal of biomedical and health informatics May 6, 2024
Survival analysis is employed to analyze the time before the event of interest occurs, which is broadly applied in many fields. The existence of censored data with incomplete supervision information about survival outcomes is one key challenge in sur...
Male Neoplasms Comorbidity Humans Female Temperature Diabetes Mellitus Age Factors Blood Pressure Sodium Deep Learning Latent Class Analysis Dementia Respiratory Rate Creatine Body Temperature Racial Groups Leukocyte Count Heart Rate Survival Analysis Datasets as Topic
View on PubMed DOI

A cautionary tale about properly vetting datasets used in supervised learning predicting metabolic pathway involvement.

PloS one May 2, 2024
The mapping of metabolite-specific data to pathways within cellular metabolism is a major data analysis step needed for biochemical interpretation. A variety of machine learning approaches, particularly deep learning approaches, have been used to pre...
Supervised Machine Learning Datasets as Topic Humans Metabolic Networks and Pathways
View on PubMed DOI
Popular Topics
Recent Journals