| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 09:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT)  MI2023-30 |
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] | MI2023-30 pp.1-2 |
| MI | 2024-03-04 14:48 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.) MI2023-83 |
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] | MI2023-83 pp.166-168 |
| MI | 2023-03-06 16:25 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain Generalization for Mitosis Detection Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo) MI2022-93 |
In pathological image analysis, it is known that the existence of inter-institutional differences (domain shift) causes ... [more] | MI2022-93 pp.100-104 |
| MI | 2021-05-17 11:00 |
Online | Online | [Short Paper]
Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs Takeru Shiina, Hirohisa Oda, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-3 |
We propose a segmentation method of the alveoli from μCT volumes. The peripheral lung mainly consists of tiny spherical ... [more] | MI2021-3 pp.9-10 |
| MI | 2015-03-02 10:05 |
Okinawa | Hotel Miyahira | Deformation and correction of 2D pathology images of brain via macro images Takuya Tanaka, Takashi Ohnishi, Yuka Nakamura, Noriaki Hashimoto, Hideaki Haneishi (Chiba Univ.) MI2014-58 |
Although, MRI is mainly used for the diagnosis of brain tumor, it's difficult to identify infiltration area of tumor fro... [more] | MI2014-58 pp.29-33 |
| MI | 2015-03-03 10:22 |
Okinawa | Hotel Miyahira | Reconstruct-based Super Resolution based on Light Position Control for Digital Pathology using Contact Image Sensing Yoshihide Sawada, Taichi Sato, Hideto Motomura (Panasonic) MI2014-94 |
In the recent years, pathologists make diagnois using the microscope. However, it is difficult for the pathologists to m... [more] | MI2014-94 pp.193-198 |
| MI | 2014-01-27 13:30 |
Okinawa | Bunka Tenbusu Kan | High speed algorithm to calculate feature quantities of nuclei graph structures in hepatic histological images Hideki Komagata, Naoki Kobayashi, Masahiro Ishikawa (Saitama Medical Univ.), Kazuma Shinoda (Utsunomiya Univ.), Masahiro Yamaguchi (Tokyo Inst. of Tech.), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2013-100 |
Virtual slide technology has advanced studies in digital pathology which is to calculate the quantitative indices using ... [more] | MI2013-100 pp.239-244 |
| MI | 2012-01-19 14:00 |
Okinawa | [Special Talk]
Image analysis and pattern recognition technology for quantitative pathology Masahiro Yamaguchi (Tokyo Tech.), Michiie Sakamoto, Akinori Hashiguchi (Keio Univ), Akira Saito (NEC), Naoki Kobayashi (Saitama Med.) MI2011-107 |
The introduction of digital technology into pathology is promising along with the recent advancement of whole slide imag... [more] | MI2011-107 pp.165-170 |
|
| MI | 2009-01-21 09:50 |
Overseas | National Taiwan University | [Poster Presentation]
MR and Histopathology Image Fusion using Nonrigid Registration and Combined Visualization Julip Jung, Helen Hong (Seoul Women's Univ.), Hak Jong Lee, Sung Il Hwang (Seoul National Univ. Bundang Hospital) MI2008-188 |
To easily recognize a prostate cancer in MR images, we propose a method for combining T2-weighted MR images with histopa... [more] | MI2008-188 pp.591-592 |
[Return to Top Page]