AIMC Topic: Supervised Machine Learning

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Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation.

Neural networks : the official journal of the International Neural Network Society Dec 15, 2024
Semi-supervised medical image segmentation endeavors to exploit a limited set of labeled data in conjunction with a substantial corpus of unlabeled data, with the aim of training models that can match or even exceed the efficacy of fully supervised s...
Humans Supervised Machine Learning Neural Networks, Computer Deep Learning Machine Learning Image Processing, Computer-Assisted Algorithms
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Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 13, 2024
The use of artificial intelligence (AI) within pathology and health care has advanced extensively. We have accordingly witnessed an increased adoption of various AI tools that are transforming our approach to clinical decision support, personalized m...
Supervised Machine Learning Humans Neural Networks, Computer Machine Learning Unsupervised Machine Learning Artificial Intelligence
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A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana.

PLoS neglected tropical diseases Dec 13, 2024
BACKGROUND: Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000-138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths an...
Humans Middle Aged Adolescent Models, Statistical Bayes Theorem Child Adult Male Female Young Adult Ghana Snake Bites Supervised Machine Learning Antivenins
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Guidelines for cerebrovascular segmentation: Managing imperfect annotations in the context of semi-supervised learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 11, 2024
Segmentation in medical imaging is an essential and often preliminary task in the image processing chain, driving numerous efforts towards the design of robust segmentation algorithms. Supervised learning methods achieve excellent performances when f...
Humans Algorithms Supervised Machine Learning Image Processing, Computer-Assisted
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Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Brain functional network (BFN) analysis has become a popular method for identifying neurological diseases at their early stages and revealing sensitive biomarkers related to these diseases. Due to the fact that BFN is a graph with complex structure, ...
Autism Spectrum Disorder Humans Brain Brain Diseases Neural Networks, Computer Computational Biology Cognitive Dysfunction Algorithms Supervised Machine Learning Databases, Factual
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Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Biomedical relation extraction aims to identify underlying relationships among entities, such as gene associations and drug interactions, within biomedical texts. Despite advancements in relation extraction in general knowledge domains, the scarcity ...
Supervised Machine Learning Data Mining Databases, Factual Computational Biology Humans Algorithms
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Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.

Computer methods and programs in biomedicine Dec 9, 2024
BACKGROUND AND OBJECTIVE: Classification of peripheral blood and bone marrow cells is critical in the diagnosis and monitoring of hematological disorders. The development of robust and reliable automatic classification systems is hampered by data sca...
Bone Marrow Cells Blood Cells Image Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms Deep Learning Machine Learning
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction.

PloS one Dec 9, 2024
Cone snails are venomous marine gastropods comprising more than 950 species widely distributed across different habitats. Their conical shells are remarkably similar to those of other invertebrates in terms of color, pattern, and size. For these reas...
Supervised Machine Learning ROC Curve Animals Conus Snail Image Processing, Computer-Assisted Animal Shells Deep Learning
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The application of machine learning for treatment selection of unruptured brain arteriovenous malformations: A secondary analysis of the ARUBA trial data.

Clinical neurology and neurosurgery Dec 8, 2024
OBJECTIVE: To build a supervised machine learning (ML) model that selects the best first-line treatment strategy for unruptured bAVMs.
Machine Learning Female Adult Humans Supervised Machine Learning Intracranial Arteriovenous Malformations Male Middle Aged
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Self-distillation improves self-supervised learning for DNA sequence inference.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in various downstream tasks. However, its efficacy for DNA sequences remains somewhat constrained. This limitation stems primarily from the fact that most e...
Humans Neural Networks, Computer DNA Sequence Analysis, DNA Supervised Machine Learning Deep Learning
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