Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Masayuki Odagawa"'
Autor:
Masayuki ODAGAWA, Takumi OKAMOTO, Tetsushi KOIDE, Toru TAMAKI, Shigeto YOSHIDA, Hiroshi MIENO, Shinji TANAKA
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :25-34
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :58-62
Autor:
Shinji Tanaka, Shigeto Yoshida, Kazufumi Kaneda, Masayuki Odagawa, Tetsushi Koide, Masayuki Tsuji, Nobuo Tamba, Toru Tamaki, Takumi Okamoto, Takayuki Sugawara, Hiroshi Toishi, Hiroshi Mieno, Bisser Raytchev
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :691-701
Autor:
Shigeto Yoshida, Tetsushi Koide, Takumi Okamoto, Bisser Raytchev, Shinji Tanaka, Toru Tamaki, Hiroshi Mieno, Kazufumi Kaneda, Masayuki Odagawa
Publikováno v:
TENCON
This paper presents a classification method for a Computer-Aided Diagnosis (CAD) system in a colorectal magnified Narrow Band Imaging (NBI) endoscopy. For the classification of a histologic findings, we consider an output result of a lesion endoscopi
Autor:
Hiroshi Mieno, Kazufumi Kaneda, Masayuki Odagawa, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Bisser Raytchev, Masayuki Tsuji, Hiroshi Toishi, Tetsushi Koide, Takumi Okamoto, Takayuki Sugawara, Nobuo Tamba
Publikováno v:
ISCAS
This paper presents a hardware implementation of a computer-aided diagnosis system that can classify lesions in real time for endoscopic video image. Unlike still images, video images contain many color shifts, blurs, reflections, and so on, a classi
Autor:
Shigeto Yoshida, Tetsushi Koide, Shinji Tanaka, Takumi Okamoto, Kazufumi Kaneda, Masayuki Odagawa, Hiroshi Mieno, Toru Tamaki, Bisser Raytchev
Publikováno v:
ISDCS
This paper introduces a feature extraction method for Narrow-Band Imaging (NBI) colorectal endoscopic images with Convolutional Neural Network (CNN) for Support Vector Machine (SVM) as a Computer-Aided Diagnosis (CAD) system. The proposed method usin
Autor:
Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Nobuo Tamba, Tetsushi Koide, Takumi Okamoto, Takayuki Sugawara, Hiroshi Mieno, Masayuki Tsuji, Hiroshi Toishi, Bisser Raytchev, Kazufumi Kaneda, Masayuki Odagawa
Publikováno v:
TENCON
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 identific