AIMC Topic: Datasets as Topic

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CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification.

The international journal of cardiovascular imaging Dec 27, 2023
The existing multilabel X-Ray image learning tasks generally contain much information on pathology co-occurrence and interdependency, which is very important for clinical diagnosis. However, the challenging part of this subject is to accurately diagn...
Humans Databases, Factual Reproducibility of Results Radiography, Thoracic Thoracic Diseases Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Lung Deep Learning
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Targeted design of synthetic enhancers for selected tissues in the Drosophila embryo.

Nature Dec 12, 2023
Enhancers control gene expression and have crucial roles in development and homeostasis. However, the targeted de novo design of enhancers with tissue-specific activities has remained challenging. Here we combine deep learning and transfer learning t...
Datasets as Topic Synthetic Biology Embryo, Nonmammalian Deep Learning Single-Cell Analysis Enhancer Elements, Genetic Chromatin Transposases Organ Specificity Drosophila melanogaster Reproducibility of Results Animals Neural Networks, Computer
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Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022.

European radiology Nov 10, 2023
OBJECTIVES: The artificial intelligence competition in healthcare at TEKNOFEST-2022 provided a platform to address the complex multi-class classification challenge of abdominal emergencies using computer vision techniques. This manuscript aimed to co...
Artificial Intelligence Algorithms Emergencies Humans Abdomen Datasets as Topic
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A hybrid machine learning feature selection model-HMLFSM to enhance gene classification applied to multiple colon cancers dataset.

PloS one Nov 2, 2023
Colon cancer is a significant global health problem, and early detection is critical for improving survival rates. Traditional detection methods, such as colonoscopies, can be invasive and uncomfortable for patients. Machine Learning (ML) algorithms ...
Colonic Neoplasms Algorithms Humans Datasets as Topic Support Vector Machine Machine Learning
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Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.

IEEE journal of biomedical and health informatics Sep 6, 2023
Medical image segmentation, or computing voxel-wise semantic masks, is a fundamental yet challenging task in medical imaging domain. To increase the ability of encoder-decoder neural networks to perform this task across large clinical cohorts, contra...
Semantics Humans Diagnostic Imaging Datasets as Topic Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality Classification.

IEEE journal of biomedical and health informatics Sep 6, 2023
Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classification. However, existing methods use a training scheme that simultaneously trains all abnormalities without considering their learning priority. In...
X-Rays Neural Networks, Computer Machine Learning Datasets as Topic Humans Radiography, Thoracic Models, Biological
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Parasitic egg recognition using convolution and attention network.

Scientific reports Sep 2, 2023
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most common infections in humans in low-and-middle-income countries. IPIs affect not only the health status of a country, but also the economic sector. Ov...
Humans Neural Networks, Computer Parasites Microscopy Datasets as Topic Intestinal Diseases, Parasitic Animals Ovum
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Evaluation of different classification methods using electronic nose data to diagnose sarcoidosis.

Journal of breath research Aug 29, 2023
Electronic nose (eNose) technology is an emerging diagnostic application, using artificial intelligence to classify human breath patterns. These patterns can be used to diagnose medical conditions. Sarcoidosis is an often difficult to diagnose diseas...
Sarcoidosis Humans Datasets as Topic Machine Learning Electronic Nose
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Advancing prostate cancer detection: a comparative analysis of PCLDA-SVM and PCLDA-KNN classifiers for enhanced diagnostic accuracy.

Scientific reports Aug 23, 2023
This investigation aimed to assess the effectiveness of different classification models in diagnosing prostate cancer using a screening dataset obtained from the National Cancer Institute's Cancer Data Access System. The dataset was first reduced usi...
Prostatic Neoplasms Supervised Machine Learning Datasets as Topic Principal Component Analysis Discriminant Analysis Algorithms Humans Male
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Feature-aware unsupervised lesion segmentation for brain tumor images using fast data density functional transform.

Scientific reports Aug 21, 2023
We demonstrate that isomorphically mapping gray-level medical image matrices onto energy spaces underlying the framework of fast data density functional transform (fDDFT) can achieve the unsupervised recognition of lesion morphology. By introducing t...
Datasets as Topic Brain Neoplasms Pattern Recognition, Automated Deep Learning Diagnostic Imaging Humans Neural Networks, Computer
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