Blister Package Classification Using ResNet-101 for Identification of Medication-Reference-Cited by-同舟云学术

Blister Package Classification Using ResNet-101 for Identification of Medication

Published:2021-11-18 Issue: Volume: Page:
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Container-title:2021 25th International Computer Science and Engineering Conference (ICSEC)
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Author:

Hnoohom Narit¹,Maitrichit Nagorn¹,Chotivatunyu Pitchaya¹,Sornlertlamvanich Virach²,Mekruksavanich Sakorn³,Jitpattanakul Anuchit⁴

Affiliation:

1. Mahidol University,Image, Information and Intelligence Laboratory,Department of Computer Engineering, Faculty of Engineering,Nakorn Pathom,Thailand

2. Asia AI Institute (AAII), Musashino University,Faculty of Data Science,Tokyo,Japan

3. University of Phayao,School of Information and Communication Technology,Department of Computer Engineering,Phayao,Thailand

4. Intelligent and Nonlinear Dynamic Innovations Research Center, King Mongkut's University of Technology North Bangkok,Faculty of Applied Science,Department of Mathematics,Bangkok,Thailand

Funder

Thammasat University Research fund

Thammasat University Research fund under the TSRI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9684498/9684574/09684590.pdf?arnumber=9684590

Reference9 articles.

1. Pill image binarization for detecting text imprints

2. An automatic drug image identification system based on multiple image features and dynamic weights;chen;International Journal of Innovative Computing Information and Control,2012

3. Highlighted Deep Learning based Identification of Pharmaceutical Blister Packages

4. Pharmaceutical Blister Package Identification Based on Induced Deep Learning

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