Effects of Background Colors, Flashes, and Exposure Values on the Accuracy of a Smartphone-Based Pill Recognition System Using a Deep Convolutional Neural Network: Deep Learning and Experimental Approach.

KyeongMin Cha Hyun-Ki Woo Dohyun Park Dong Kyung Chang Mira Kang

Published in: JMIR medical informatics (2021)

The accuracy generally increased as the color difference decreased, except for images with black backgrounds and an EV of -2.0. This study revealed that background colors, the presence of a flash, and EVs in real-world conditions are important factors that affect the performance of a pill recognition model.

Keyphrases

convolutional neural network
deep learning
artificial intelligence
machine learning
optical coherence tomography