Image-based Detection
Image-Based Detection is a computational method that identifies counterfeit medicines by analyzing visual features extracted from images, distinguishing itself from other detection approaches through its reliance on optical data and pattern recognition techniques applied to physical product appearance.
551
Publications
24K
Citations
2.1K
Authors
765
Institutions
Publications per year
2017–2026
331
551
Deep learning for image-based cancer detection and diagnosis − A survey
Zilong Hu, Jinshan Tang, Ziming Wang et al. · Pattern Recognition · 2018 · 506 citations
WISARD·a radical step forward in image recognition
Igor Aleksander, Wischgoll Thomas, P. Bowden · Sensor Review · 1984 · 303 citations
1–5 of 551
2.1K
3
h-index
3
h-index
3
h-index
Indian Institute of Technology Kharagpur, India
3 publications · 67 citations
3
h-index
3
h-index
1–5 of 2.1K
765
Nanyang Technological University
Singapore, Singapore
6 h-index
16 publications
664 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
21 publications
1.4K citations
National Cheng Kung University
Tainan City, Taiwan
5 h-index
14 publications
646 citations
Amity University
Noida, India
5 h-index
15 publications
887 citations
Graz University of Technology
Graz, Austria
5 h-index
14 publications
925 citations
Beijing Jiaotong University
Beijing, China
5 h-index
14 publications
515 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
9 publications
348 citations
Seoul National University
Seoul, South Korea
4 h-index
13 publications
644 citations
1–8 of 765
15 publications · 533 citations
13
h-index
11 publications · 349 citations
11
h-index
8 publications · 164 citations
8
h-index
Repository · 7 publications · 378 citations
7
h-index
6 publications · 280 citations
6
h-index
1–5