Object Detection and Segmentation Using Deeplabv3 Deep Neural Network for a Portable X-Ray Source Model

The primary purpose of this research is to implement Deeplabv3 architecture’s deep neural network in detecting and segmenting portable X-ray source model parts such as body, handle, and aperture in the same color scheme scenario. Similarly, the aperture is smaller with lower resolution making deep c...

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Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics Jg. 26; H. 5; S. 842 - 850
Hauptverfasser:	Rogelio, Jayson P., Dadios, Elmer P., Vicerra, Ryan Ray P., Bandala, Argel A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Fuji Technology Press Co. Ltd 01.09.2022
Schlagworte:	Apertures Artificial neural networks Computer architecture Feature maps Neural networks Object recognition Portability Semantic segmentation X ray sources
ISSN:	1343-0130, 1883-8014
Online-Zugang:	Volltext
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