High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion

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Veröffentlicht in:PLOS ONE Jg. 18; S. e0291865
Hauptverfasser: Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Public Library of Science (PLoS) 28.09.2023
Schlagworte:
A priori and a posteriori
Applications of Deep Learning in Medical Imaging
Artificial intelligence
Benchmarking
Biochemistry
Biology
Botany
Chemistry
Clinical pharmacology and therapeutics
Computer science
Computer Science - Computer Vision and Pattern Recognition
Computer security
Computer Vision and Pattern Recognition (cs.CV)
Cone-Beam Computed Tomography in Dentistry
Dentistry
Earth and Planetary Sciences
Environment, Controlled
Epistemology
Exploit
FOS: Clinical medicine
FOS: Computer and information sciences
FOS: Philosophy, ethics and religion
Gene
Geochemistry and Petrology
Health Sciences
Humans
Identification (biology)
Lighting
Machine learning
Medicine
Neural networks
Neural Networks, Computer
Oral Surgery
Pattern recognition (psychology)
Pharmacology
Philosophy
Physical Sciences
Piezonuclear Reactions in Earth's Crust and Laboratory Experiments
Pill
Pill Recognition
Pneumonia Detection
Q
R
Radiology, Nuclear Medicine and Imaging
Reproducibility of Results
Research Article
Robustness (evolution)
Science
ISSN:1932-6203
Online-Zugang:Volltext
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Beschreibung
ISSN:1932-6203
DOI:10.48550/arxiv.2303.09782