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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 17:56 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT)  MI2022-100 |
In pathological diagnosis of malignant lymphoma, a H&E-staind pathological image is observed to identify the subtype. Ho... [more] | MI2022-100 pp.123-124 |
| MI | 2022-07-08 14:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Cell type-specific tumor degree estimation in malignant lymphoma pathology images Hiroki Masuda (NITech), Noriaki Hashimoto (RIKEN), Yusuke Takagi (NITech), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi, Kensaku Sato, Koichi Oshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (Nagoya Univ./RIKEN) MI2022-32 |
In the pathological diagnosis flow of malignant lymphoma, a type of blood cancer, it is important to identify the type o... [more] | MI2022-32 pp.1-6 |
| MI | 2022-01-27 13:41 |
Online | Online | Immunohistochemical Reaction Image Analysis of Endometrial Carcinoma of the Uterine Corpus Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima (Shinshu Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-77 |
Immunohistochemistry (IHC) is a visualization method aiming at discovering a certain protein and has been widely adopted... [more] | MI2021-77 pp.141-143 |
| MI | 2021-07-09 11:00 |
Online | Online | [Short Paper]
Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT) MI2021-16 |
In pathological diagnosis of malignant lymphoma, a HE image is observed at first and then a set of immunostained images ... [more] | MI2021-16 pp.31-32 |
| MI | 2021-03-16 16:15 |
Online | Online | Pre-operative Head CT and Pathological Image Registration using Normalized Cross-Correlation and Dice coefficient Yukinobu Matsuoka, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ. Hospital), Tetsushi Wakabayashi (Mie Univ.) MI2020-81 |
The radiation therapy to oral cancer sometimes causes the osteoradionecrosis of jaws which is know as a refractory disea... [more] | MI2020-81 pp.144-149 |
| MI | 2020-01-30 09:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
A Combined System of Raman Spectroscopy and Optical Coherence Tomography for Pathological Diagnosis Yumi Ueda, Kazuya Nakano, Takashi Ohnishi, Hanako Tatekawa, Seiichiro Hirono, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2019-97 |
Pathological diagnosis during surgery is performed to determine the area which have to be removed. Although it can be pe... [more] | MI2019-97 pp.147-148 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Extracting and Visualization of Essential Features for Staining Translation of Pathological Images Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota (NIT), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUI), Ichiro Takeuchi, Hidekata Hontani (NIT) MI2019-116 |
In this manuscript, we propose a method for stain translation of pathology images. When one constructs a computer aided ... [more] | MI2019-116 pp.215-218 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 16:20 |
Okayama | Domain-adversarial multiple instance learning for subtype classification of malignant lymphoma Daisuke Fukushima, Ryoichi Koga, Noriaki Hashimoto, Kaho Ko (Nagoya Inst. of Tech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (Nagoya Univ. Hospital), Hidekata Hontani (Nagoya Inst of Tech), Ichiro Takeuchi (Nagoya Inst. of Tech/RIKEN/NIMS) PRMU2019-15 MI2019-34 |
We classify subtypes of malignant lymphoma using convolutional neural network with digital pathological images as input ... [more] | PRMU2019-15 MI2019-34 pp.19-24 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 14:10 |
Okayama | Analysis and Feature Selection of CNN Features
-- Recognition of Neoplasia by using Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) PRMU2019-29 MI2019-48 |
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces. Deep learni... [more] |
PRMU2019-29 MI2019-48 pp.129-134 |
|
| MI | 2019-01-23 09:45 |
Okinawa | Feature Selection from Imbalanced Data
-- Pathological Pattern Classification in Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2018-87 |
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] | MI2018-87 pp.109-114 |
|
| MICT, MI | 2018-11-06 17:00 |
Hyogo | University of Hyogo | Fundamental study for relationship analysis between tissue density and sound of speed on glioma Shu Kashio, Takashi Ohnishi, Takuya Ogawa, Kazuyo Ito, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MICT2018-54 MI2018-54 |
Physical characteristics associated with pathological diagnostic information of tumor provide important information for ... [more] | MICT2018-54 MI2018-54 pp.67-70 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 15:25 |
Okinawa | Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81 |
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] | MI2017-81 pp.51-56 |
|
| MI | 2017-09-25 15:30 |
Chiba | Chiba Univ. | Classification of neoplasia and non-neoplasia for colon endocytoscopic images by convolutional neural network Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-44 |
Endocytoscopy is a new endoscope that enables us to perform conventional endoscopic observation and ultramagnified obser... [more] | MI2017-44 pp.17-21 |
| MI | 2015-03-02 13:40 |
Okinawa | Hotel Miyahira | A method to extract fibrosis area from HE-stained liver specimens using the superpixel Masahiro Ishikawa (Saitama Med Univ.), Ryota Kudo, Hiroshi Kanazawa, Masahiro Yamaguchi (Tokyo Tech), Hideki Komagata, Naoki Kobayashi (Saitama Med Univ.), Yoshiko Yamashita, Tomoharu Kiyuna (NEC), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ) MI2014-75 |
In the diagnosis of hepatocellular carcinoma(HCC) by HE-stained liver pathological specimens, the structure of hepatic c... [more] | MI2014-75 pp.105-108 |
| MI | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | A method to extract fat drops from liver biopsy image using machine learning algorithm Masahiro Ishikawa, Naoki Kobayashi, Hideki Komagata (Saitama Medical Univ.), Masahiro Yamaguchi (Tokyo Inst. of Tech.), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2013-75 |
In the diagnosis of hepatocellular carcinoma (HCC) in HE-stained liver pathological specimens, morphological features in... [more] | MI2013-75 pp.103-108 |
| MI | 2013-01-25 13:10 |
Okinawa | Bunka Tenbusu Kan | An automatic measurement of morphological feature for analysis of the hepatic trabeculae Masahiro Ishikawa, Tomoya Fukui, Yuri Murakami, Masahiro Yamaguchi (Tokyo Tech), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2012-111 |
In the diagnosis of hepatocellular carcinoma (HCC) in histopathology, the trabecula or cell-arrangement pattern of liver... [more] | MI2012-111 pp.255-260 |
| SP | Toyama | Toyama Prefectural University | A numerical simulation of pathological speech production based on asymmetric vocal folds model Hideyuki Nomura, Tetsuo Funada (Kanazawa Univ.) SP2007-43 |
Numerical simulations of pathological voice production and estimations of pressure wave fluctuations are performed based... [more] | SP2007-43 pp.115-120 |
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