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

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Bibliographic Details
Published in:	PLOS ONE Vol. 18; p. e0291865
Main Authors:	Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen
Format:	Journal Article
Language:	Japanese
Published:	Public Library of Science (PLoS) 28.09.2023
Subjects:	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 Access:	Get full text
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ISSN:	1932-6203
DOI:	10.48550/arxiv.2303.09782