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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 15:58 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Representations obtained by self-supervised learning of hierarchical ViT to discriminate between benign and malignant breast tumors Akiomi Ishikawa (NIT), Kouji Arihiro (HIrosima Univ), Hidekata Hontani (NIT)  MI2023-88 |
In this paper, I report a method to apply the representation of pathological microscopic images obtained by self-supervi... [more] | MI2023-88 pp.184-185 |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-02 15:35 |
Hokkaido | Comparison of the Performance between CNN and CRNN Models for Screening Pathological Speech Using Spectrogram Images Naofumi Aoki (Hokkaido Univ.), Keiki Zen (Industrial Research Institute, Hokkaido Research Organization) EA2023-7 |
This study has investigated the possibility of screening pathological speech using machine learning techniques. This pap... [more] | EA2023-7 pp.16-21 |
|
| MI | 2023-03-06 17:43 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Relation Analysis between Endometrial Carcinoma of the Uterine Corpus and Proteins Relating to the DNA Replication Using Immunohistochemical Reaction Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima, Takumi Urata (Shinshu Univ.), Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-99 |
Immunohistochemistry is a staining technique for visualizing the expression of specific proteins and identifying cell pr... [more] | MI2022-99 pp.119-122 |
| 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 | 2022-01-27 13:54 |
Online | Online | [Short Paper]
Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78 |
We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] | MI2021-78 pp.144-145 |
| MI, MICT [detail] | 2021-11-05 11:05 |
Online | Online | [Short Paper]
Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31 |
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] | MICT2021-33 MI2021-31 pp.26-27 |
| 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 09:50 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Short Paper]
Fundamental study for relationship analysis between acoustic features by microscopy and pathological characteristics on brain tumors Daiki Matsumoto, Takashi Ohnishi, Kazuya Nakano, Takuya Ogawa, Seiichiro Hirono, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2019-98 |
In brain tumor resection surgery, the tumor is removed by judging from color and stiffness, and the type and malignancy ... [more] | MI2019-98 pp.149-150 |
| 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 10:20 |
Okinawa | Automatic extraction of ultrasonic measurement area from pathological image for registration with ultrasonic image Maho Funato, Takashi Ohnishi, Shu Kashio, Kazuyo Ito, Tadashi Yamaguchi, Yasuo Iwadate, Hideaki Haneishi (Chiba Univ.) MI2017-66 |
We have been developing the registration between the pathological image and ultrasonic image by a scanning acoustic micr... [more] | MI2017-66 pp.13-16 |
|
| 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 | 2016-01-20 15:05 |
Okinawa | Bunka Tenbusu Kan | Highly accurate registration between pathological image and optical macro image by improving capture mechanism Yuka Nakamura, Takashi Ohnishi, Takuya Tanaka, Hideaki Haneishi (Chiba Univ.) MI2015-141 |
In order to conduct multi modal and multi scale analysis, highly accurate image registration is needed. However, convent... [more] | MI2015-141 pp.337-340 |
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