IEICE Technical Committee

Information and Systems-Image Engineering(Date:2023/03/06)

Presentation

A machine learning model to classify tumors using CT images and clinical factors in testicular cancer

Shota Nakagawa(University of Tsukuba), Masanobu Gido(University of Tsukuba), Satoshi Nitta(University of Tsukuba Hospital), Takahiro Kojima(Aichi Cancer Center Hospital), Hideki Kakeya(University of Tsukuba),

[Date]2023-03-06
[Paper #]MI2022-75

Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN

Tetsuya Asakawa(TUT), Riku Tsuneda(TUT), Yuki Sugimoto(TUT), Kazuki Shimizu(THC), Takuyuki Komoda(THC), Masaki Aono(TUT),

[Date]2023-03-06
[Paper #]MI2022-76

Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer

Yu Jin(Kyushu Univ.), Hidetaka Arimura(Kyushu Univ.), YunHao Cui(Kyushu Univ.), Takumi Kodama(Kyushu Univ.), Shinichi Mizuno(Kyushu Univ.), Satoshi Ansai(Kyoto Univ.),

[Date]2023-03-06
[Paper #]MI2022-77

[Short Paper] Novel loss function dedicated for anomaly detection using lesion-embedded artificial dataset

Shouhei Hanaoka(Tokyo Univ.), Yukihiro Nomura(Chiba Univ.), Hisaichi Shibata(Tokyo Univ.), Tomomi Takenaga(Tokyo Univ.), Takeharu Yoshikawa(Tokyo Univ.), Naoto Hayashi(Tokyo Univ.), Osamu Abe(Tokyo Univ.),

[Date]2023-03-06
[Paper #]MI2022-98

Reproducing method of cancer annotation by local features in pathological images

Shunya Mutsuda(KIT), Sohsuke Yamada(Kanazawa Medical Univ.), Toshiki Kindo(KIT),

[Date]2023-03-06
[Paper #]MI2022-90

[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN

Yuya Okumura(Univ of Tsukuba), Hiroyuki Kudo(Univ of Tsukuba), Hotaka Takizawa(Univ of Tsukuba),

[Date]2023-03-06
[Paper #]MI2022-80

[Short Paper] Segmentation of melanoma with consideration of dermoscopy edges

Kazutoshi Hanazaki(Kindai Univ), Naoto Kitabata(Kindai Univ), Takeki Tobitsuka(Kindai Univ), Tatsuya Masaki(Kindai Univ), WeiLun Chang(Kindai Univ), Takashi Nagaoka(Kindai Univ),

[Date]2023-03-06
[Paper #]MI2022-88

[Short Paper] Segmentation of melanoma using hyperspectral data and Deeplabv3+

Naoto Kitabata(Kinki Univ), Takeki Tobitsuka(Kinki Univ), Tatsuya Masaki(Kinki Univ), Kazutoshi Hanazaki(Kinki Univ), Weilun Chang(Kinki Univ), Takashi Nagaoka(Kinki Univ),

[Date]2023-03-06
[Paper #]MI2022-89

Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning

Yuya Kumagai(TUT), Hiroki Shinoda(TUT), Tetsuya Asakawa(TUT), Kazuki Shimizu(THC), Takuyuki Komoda(THC), Masaki Aono(TUT),

[Date]2023-03-06
[Paper #]MI2022-91

[Short Paper] Melanoma segmentation using pix2pix

Takashi Nagaoka(Kindai Univ.), Mitsutaka Nemoto(Kindai Univ.), Katsuhiro Mikami(Kindai Univ.), Toshihiro Shinohara(Kindai Univ.), Yuichi Kimura(Kindai Univ.),

[Date]2023-03-06
[Paper #]MI2022-87

Report on MICCAI 2022

Hayato Itoh(Nagoya Univ.), Masahiro Oda(Nagoya Univ.), Chen Shen(Nagoya Univ.), Cheng Wang(Nagoya Univ.), Kanta Miura(Tohoku Univ.), Junya Sato(Osaka Univ.), Yoshito Otake(NAIST), Ryoma Bise(Kyushu Univ.), Ryo Furukawa(Kindai Univ.), Hidekata Hontani(NITech), Yoshitaka Masutani(Tohoku Univ.), Kensaku Mori(Nagoya Univ.),

[Date]2023-03-06
[Paper #]MI2022-79

[Short Paper] FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning

Kodai Yamashita(Univ. of Tsukuba), Souta Okabe(Univ. of Tsukuba), Hiroyuki Kudo(Univ. of Tsukuba),

[Date]2023-03-06
[Paper #]MI2022-73

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(Shinshu Univ.), Kengo Ohshima(Shinshu Univ.), Takumi Urata(Shinshu Univ.), Takayuki Okamoto(Chiba Univ.), Hideaki Haneishi(Chiba Univ.),

[Date]2023-03-06
[Paper #]MI2022-99

[Short Paper] Accuracy Improvement of Annotation Label in Microscopic Pathological Images

Hirotaka Yasuma(NiTech), Kugler Mauricio(NiTech), Tatsuya Yokota(NiTech), Kouji Arihiro(Hiroshima Univ.), Hidekata Hontani(NiTech),

[Date]2023-03-06
[Paper #]MI2022-97

[Short Paper] Rotationally Equivariant Neural Networks for Medical Image Processing Applications

Ryota Ogino(NITech), Hidekata Hontani(NITech), Tatsuya Yokota(NITech), Kugler Mauricio(NITech),

[Date]2023-03-06
[Paper #]MI2022-96

A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information

Keigo Enomoto(Nagoya Univ.), Yuichiro Hayashi(Nagoya Univ.), Takayuki Kitasaka(Aichi Institute of Tech.), Masahiro Oda(Nagoya Univ.), Kazunari Misawa(Aichi Cancer Center Hospital), Kensaku Mori(Nagoya Univ./NII),

[Date]2023-03-06
[Paper #]MI2022-85

[Short Paper] Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma

Ryoichi Koga(NIT), Mauricio Kugler(NIT), Tatsuya Yokota(NIT), Kouichi Ohshima(KU), Hiroaki Miyoshi(KU), Miharu Nagaishi(KU), Noriaki Hashimoto(NU), Ichiro Takeuchi(NU), Hidekata Hontani(NIT),

[Date]2023-03-06
[Paper #]MI2022-100

Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes

Yuto Masaki(NAIST), Yoshito Otake(NAIST), Yi Gu(NAIST), Mazen Soufi(NAIST), Keisuke Uemura(Osaka Univ), Masaki Takao(Ehime Univ.), Takuma Miyamoto(Nara Medical Univ), Yasuhito Tanaka(Nara Medical Univ), Seiji Okada(Osaka Univ), Nobuhiko Sugano(Osaka Univ), Yoshinobu Sato(NAIST),

[Date]2023-03-06
[Paper #]MI2022-84

Accuracy improvement of emsemble learning based dementia classification for brain SPECT volumes

Naoki Matsumoto(TUAT), Makoto Fukasawa(Fukujuji Hosp.), Tomomichi Iizuka(Fukujuji Hosp.), Akinobu Shimizu(TUAT),

[Date]2023-03-06
[Paper #]MI2022-72

Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement

Yusuke Takateyama(TUAT), Masahiro Hashimoto(Keio Univ.), Yoshito Otake(NAIST), Toshiaki Akashi(Juntendo Univ.), Akinobu Shimizu(TUAT),

[Date]2023-03-06
[Paper #]MI2022-78