Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2011-09-06 09:25 |
Ibaraki |
AIST |
Study of input voxel size on voxel-based classifier for lesion detection Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2011-48 |
To improve detection accuracy for small lesion, it is desirable that a resolution of original volume data should be as h... [more] |
MI2011-48 pp.7-10 |
MI |
2011-09-06 09:50 |
Ibaraki |
AIST |
Improvement of vertebral segmentation accuracy by using anatomical landmark position information Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-49 |
A method to improve the segmentation accuracy of the vertebral body with use of information on anatomical landmark posit... [more] |
MI2011-49 pp.11-16 |
PRMU, MI, IE |
2011-05-19 15:30 |
Aichi |
|
Improvement of automated detection for anatomical landmarks within medical images
-- Increasing detection performance for soft tissue related landmarks -- Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. Tokyo) IE2011-16 PRMU2011-8 MI2011-8 |
[more] |
IE2011-16 PRMU2011-8 MI2011-8 pp.39-44 |
MI |
2010-11-15 11:10 |
Kyoto |
Shimadzu Corp. |
A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks <2nd report>
-- Set optimization of candidates detected from images with various examination range -- Mitsutaka Nemoto, Shouhei Hanaoka (The Univ. of Tokyo Hospital), Yoshitaka Masutani (The Univ. of Tokyo Hospital/Univ Tokyo), Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka (The Univ. of Tokyo Hospital), Kuni Ohtomo (The Univ. of Tokyo Hospital/Univ Tokyo) MI2010-70 |
[more] |
MI2010-70 pp.23-26 |
MI |
2010-09-03 12:50 |
Saitama |
|
[Poster Presentation]
Web-based CAD server for clinical use, evaluation, and incremental learning
-- Preliminary study for incremental learning of CAD software based on clinical feedback -- Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2010-55 |
We have been building a web-based CAD server that enables radiologists to use CAD software and to give feedback in clini... [more] |
MI2010-55 pp.31-36 |
MI |
2010-09-03 12:50 |
Saitama |
|
[Poster Presentation]
Study on anatomical landmark detection from CT images via three-dimensional SIFT Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59 |
Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which... [more] |
MI2010-59 pp.49-54 |
MI |
2010-09-03 16:25 |
Saitama |
|
A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ.) MI2010-63 |
Landmark detection algorithms are usable for many medical image processing. However, some false detection or inconsiste... [more] |
MI2010-63 pp.67-74 |
MI |
2010-01-29 09:40 |
Okinawa |
Naha-Bunka-Tenbusu |
The effect of training with simple pointed lesion dataset on classification accuracy
-- Preliminary study for development of CAD software with incremental learning function on clinical application -- Mitsutaka Nemoto, Yukihiro Nomura (Univ. Tokyo Hospital), Yoshitaka Masutani (Univ. Tokyo Hospital/Univ. Tokyo), Shouhei Hanaoka (Univ. Tokyo), Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka (Univ. Tokyo Hospital), Kuni Ohtomo (Univ. Tokyo Hospital/Univ. Tokyo) MI2009-121 |
CAD (Computer Assisted Detection) software in clinical use needs a robustness for image feature variations caused by dif... [more] |
MI2009-121 pp.247-252 |
MI |
2009-07-15 10:10 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
Building a web-based CAD process server for clinical use of CAD software Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2009-42 |
The development of computer-assisted detection (CAD) software involves a cycle such as algorithm development, software i... [more] |
MI2009-42 pp.13-18 |
MI |
2009-07-15 11:40 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
cortical and cancellous bone partition and normalized density map of the vertebral bodies based on generalized cylinder model Shouhei Hanaoka (Tokyo univ.), Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ) MI2009-46 |
We developed a 2-D deformable model of a cross-sectional vertebral body shape for cancellous bone segmentation in clinic... [more] |
MI2009-46 pp.33-38 |
MI |
2009-07-15 17:00 |
Tokyo |
AIST Tokyo waterfront annex 11F meeting room #1 |
Study of learning for classifier ensemble to differentiate lesion voxels
-- Relation between initial weight for training sample data and classification accuracy of trained ensemble -- Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. Tokyo) MI2009-53 |
[more] |
MI2009-53 pp.75-78 |
MI |
2008-10-30 11:10 |
Tokyo |
The Univ. of Tokyo |
Preliminary study of computerized detection of ground-glass opacity nodules in chest CT images Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Haruhiko Ito, Shouhei Hanaoka, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. of Tokyo) |
We have been developing a computerized detection method of lung nodules based on volumetric curvature, and our method em... [more] |
|
MI |
2008-10-30 11:35 |
Tokyo |
The Univ. of Tokyo |
Segmentation algorithm for the whole vertebrae applicable to the posterior segment Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo Univ.) |
[more] |
|
MI |
2008-10-30 15:35 |
Tokyo |
The Univ. of Tokyo |
Development of automatic skin lesion detection for body trunk FDG-PET/CT images Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. of Tokyo) |
In this paper, we propose SUV features for the skin lesion detection of body-trunk FDG-PET/CT images. Our previous detec... [more] |
|
MI |
2007-07-11 10:00 |
Tokyo |
Siemens Forum |
Investigation of normalization coefficient for scale matching using Hessian matrix Yukihiro Nomura, Yoshitaka Masutani, Naoto Hayashi, Takeharu Yoshikawa, Kuni Ohtomo (Univ. of Tokyo) MI2007-27 |
Scale matching based on Hessian matrix is utilized standard deviation of a Gauss function to a coefficient power as a no... [more] |
MI2007-27 pp.1-6 |
|