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

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Podrobná bibliografie
Vydáno v:	PLOS ONE Ročník 18; s. e0291865
Hlavní autoři:	Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	Public Library of Science (PLoS) 28.09.2023
Témata:	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
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Popis
ISSN:	1932-6203
DOI:	10.48550/arxiv.2303.09782