AIMC Topic: Datasets as Topic

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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...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Datasets as Topic Radiography, Thoracic Humans Deep Learning
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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...
Middle Aged Adolescent Image Processing, Computer-Assisted Datasets as Topic Biometric Identification Color New Zealand Young Adult Adult Humans Male Neural Networks, Computer Female Aged Veins
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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...
Pathology, Clinical Cluster Analysis Datasets as Topic Data Curation Humans Neural Networks, Computer Female Breast Neoplasms Deep Learning Reproducibility of Results Sensitivity and Specificity
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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...
Age Factors Blood Pressure Sodium Heart Rate Latent Class Analysis Dementia Diabetes Mellitus Racial Groups Leukocyte Count Respiratory Rate Creatine Survival Analysis Datasets as Topic Body Temperature Humans Female Temperature Comorbidity Deep Learning Male Neoplasms
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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...
Humans Datasets as Topic Metabolic Networks and Pathways Supervised Machine Learning
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An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

Ultrasound in medicine & biology May 1, 2024
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is ofte...
Cardiology Foramen Ovale, Patent Datasets as Topic Saline Solution Internship and Residency Reproducibility of Results Sensitivity and Specificity Echocardiography Area Under Curve Image Interpretation, Computer-Assisted Contrast Media Ischemic Stroke Humans Artificial Intelligence
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Deep Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets.

AJR. American journal of roentgenology May 1, 2024
Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse. The purpose of this article is to develop and validate deep learning models for liver, spleen, and pancreas segmentation...
Humans Retrospective Studies Male Infant Deep Learning Adolescent Tomography, X-Ray Computed Female Infant, Newborn Datasets as Topic Pancreas Spleen Radiography, Abdominal Child, Preschool Child Liver
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One model to use them all: training a segmentation model with complementary datasets.

International journal of computer assisted radiology and surgery Apr 27, 2024
PURPOSE: Understanding surgical scenes is crucial for computer-assisted surgery systems to provide intelligent assistance functionality. One way of achieving this is via scene segmentation using machine learning (ML). However, such ML models require ...
Databases, Factual Image Processing, Computer-Assisted Surgery, Computer-Assisted Datasets as Topic Humans Machine Learning
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[Data-driven intensive care: a lack of comprehensive datasets].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Confidentiality Critical Care Datasets as Topic Germany Intensive Care Units Computer Security Machine Learning Humans Big Data Databases, Factual Europe
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MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition.

Journal of neural engineering Apr 17, 2024
. The instability of the EEG acquisition devices may lead to information loss in the channels or frequency bands of the collected EEG. This phenomenon may be ignored in available models, which leads to the overfitting and low generalization of the mo...
Electroencephalography Supervised Machine Learning Datasets as Topic Humans Emotions
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