Development and Validation of a Digital Image Processing‐Based Pill Detection Tool for an Oral Medication Self‐Monitoring System

Development and Validation of a Digital Image Processing‐Based Pill Detection Tool for an Oral Medication Self‐Monitoring System

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Long‐term adherence to medication is of critical importance for the successful management of chronic diseases. Objective tools to track oral medication adherence are either lacking, expensive, difficult to access, or require additional equipment. To improve medication adherence, cheap and easily acc...

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Bibliographic Details
Main Authors: Almeida, R. (Author), Amaral, R. (Author), Cardoso, R. (Author), Chon, K.H (Author), Fonseca, J.A (Author), Holtkötter, J. (Author), Jácome, C. (Author), Pereira, A. (Author), Pereira, M. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Additional equipment
Chronic disease
computer vision
Computer vision
Detection tools
Feature extraction
Hough transforms
image processing
Images processing
medication adherence
Medication adherence
Monitoring system
object detection
Object detection
Pelletizing
pill detection
Pill detection
Self-monitoring
Successful management
Tool use
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