Deep learning and self-supervised learning techniques have advanced, making it possible to diagnose medical images more accurately. Our goal in this work is to increase the accuracy of medical diagnosis using chest X-rays by utilising information ...
Jaydeep Kishore +5 more
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This paper introduces a drone-based surrogate project aimed at serving as a preliminary educational platform for undergraduate students in the Electrical and Computer Engineering (ECE) fields.
Angel A. Rodriguez +6 more
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PASSer2.0: Accurate Prediction of Protein Allosteric Sites Through Automated Machine Learning
Sian Xiao, Hao Tian, Peng Tao
openalex +1 more source
Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy [PDF]
Chuqiao Shi +7 more
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John A. Kronenberger +6 more
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A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset
While the field of medical image analysis has undergone a transformative shift with the integration of machine learning techniques, the main challenge of these techniques is often the scarcity of large, diverse, and well-annotated datasets.
Stefano Woerner +2 more
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A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning [PDF]
Chia‐Tung Wu +11 more
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Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing [PDF]
Charlie F Rowlands +2 more
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Δ-Quantum machine-learning for medicinal chemistry
Kenneth Atz +4 more
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Molecular relaxation by reverse diffusion with time step prediction
Molecular relaxation, finding the equilibrium state of a non-equilibrium structure, is an essential component of computational chemistry to understand reactivity.
Khaled Kahouli +5 more
doaj +1 more source

