Name
Title | ||
|---|---|---|
Implementation of Computer-Aided Diagnosis System on Customizable DSP Core for Colorectal Endoscopic Images with CNN Features and SVM |
Abstract | ||
|---|---|---|
In this paper, the computer-aided diagnosis system for colorectal endoscopic images is proposed. The proposed system is consisted of Convolutional Neural Network (CNN) as the feature extraction processing and Support Vector Machine (SVM) as identification processing. The proposed system is also implemented on customizable Digital Signal Processing (DSP) core: Vision P6 DSP and is demonstrated the effectiveness of a real-time recognition system by a FPGA based prototyping system, Protium (TM) S1. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/tencon.2018.8650331 | TENCON IEEE Region 10 Conference Proceedings |
Keywords | Field | DocType |
Medical image processing,Computer-Aided Diagnosis System (CAD),Convolutional Neural Network (CNN),Support Vector Machine (SVM),customizable DSP | Digital signal processing,Recognition system,Convolutional neural network,Computer science,Computer-aided diagnosis,Support vector machine,Field-programmable gate array,Electronic engineering,Feature extraction,Computer hardware | Conference |
ISSN | Citations | PageRank |
2159-3442 | 0 | 0.34 |
References | Authors | |
0 | 13 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takumi Okamoto | 1 | 0 | 1.35 |
| Tetsushi Koide | 2 | 126 | 36.29 |
| Makoto Yoshida | 3 | 46 | 12.34 |
| Hiroshi Mieno | 4 | 1 | 2.38 |
| Hiroshi Toishi | 5 | 0 | 0.34 |
| Takayuki Sugawara | 6 | 0 | 0.34 |
| Masayuki Tsuji | 7 | 0 | 0.34 |
| Masayuki Odagawa | 8 | 0 | 2.03 |
| Nobuo Tamba | 9 | 0 | 0.34 |
| Toru Tamaki | 10 | 120 | 30.21 |
| Bisser Raytchev | 11 | 212 | 33.11 |
| K. Kaneda | 12 | 46 | 5.62 |
| Shinji Tanaka | 13 | 5 | 6.23 |