A Light-Weight Practical Framework for Feces Detection and Trait Recognition

Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they can effectively reveal various aspects regarding the health of the digestive system. An automatic feces detection and trait recognition system based on a visual sensor could greatly alleviate the burden o...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Lu Leng, Ziyuan Yang, Cheonshik Kim, Yue Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Subjects:	light-weight framework feces trait recognition object detection visual sensor illumination normalization method convolutional neural network
Online Access:	https://www.mdpi.com/1424-8220/20/9/2644