Customizable Hardware Architecture of Support Vector Machine in CAD System for Colorectal Endoscopic Images with NBI Magnification

نویسندگان

  • Satoshi Shigemi
  • Tsubasa Mishima
  • Anh - Tuan Hoang
  • Tetsushi Koide
  • Toru Tamaki
  • Bisser Raytchev
  • Kazufumi Kaneda
  • Yoko Kominami
  • Rie Miyaki
  • Taiji Matsuo
  • Shigeto Yoshida
  • Shinji Tanaka
چکیده

With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor's diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification [1] is proposed for real-time processing of full high definition (Full HD) image (1920 x 1080 pixel). In addition, in order to improve the identification accuracy for type B (TA: tubular adenoma) and type C3 (SM-m cancer), algorithms to realize a 3-class identification, which has high efficiency and high accuracy, is proposed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Hierarchical Type Segmentation Algorithm based on Support Vector Machine for Colorectal Endoscopic Images with NBI Magnification

With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor's diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification is propose...

متن کامل

High Speed Approximation Feature Extraction in CAD System for Colorectal Endoscopic Images with NBI Magnification

In this study, we have proposed an improvement for feature extraction in computer-aided diagnosis (CAD) system for colorectal endoscopic images with narrow-band imaging (NBI) magnification [1]. Dense Scale-Invariant Feature Transform (D-SIFT) is used in the feature extraction [3]. It is necessary to consider a trade-off between the precision of the feature extraction and speedup by the FPGA imp...

متن کامل

Computer-aided colorectal tumor classification in NBI endoscopy using local features

An early detection of colorectal cancer through colorectal endoscopy is important and widely used in hospitals as a standard medical procedure. During colonoscopy, the lesions of colorectal tumors on the colon surface are visually inspected by a Narrow Band Imaging (NBI) zoom-videoendoscope. By using the visual appearance of colorectal tumors in endoscopic images, histological diagnosis is pres...

متن کامل

High Performance Feature Transformation Architecture based on Bag-of-Features in CAD system for Colorectal Endoscopic Images

Our research target to a computer-aided diagnosis (CAD) system for colorectal endoscopic images with narrow band imaging (NBI) magnification, which identifies a pathology type from local feature in the NBI endoscopic image. We propose a high speed feature transformation for CAD system by using Manhattan distance calculation and on the fly normalization method. A high performance and low cost al...

متن کامل

A CAD System Framework for the Automatic Diagnosis and Annotation of Histological and Bone Marrow Images

Due to ever increasing of medical images data in the world’s medical centers and recent developments in hardware and technology of medical imaging, necessity of medical data software analysis is needed. Equipping medical science with intelligent tools in diagnosis and treatment of illnesses has resulted in reduction of physicians’ errors and physical and financial damages. In this article we pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013