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Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.

S. Takahama, Y. Kurose, Y. Mukuta, H. Abe, A. Yoshizawa, T. Ushiku, M. Fukayama, M. Kitagawa, M. Kitsuregawa, and T. Harada. ISBI, page 1-5. IEEE, (2023)

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Akihiko Fujii

Shin Yoshizawa

Other publications of authors with the same name

Spatial Distribution-Based Pseudo Labeling for Pathological Image Segmentation.Y. Shigeyasu, K. Araki, S. Harada, A. Yoshizawa, K. Terada, and R. Bise. ISBI, page 1-5. IEEE, (2023)Multi-Class Cell Detection Using Modified Self-Attention.T. Sugimoto, H. Ito, Y. Teramoto, A. Yoshizawa, and R. Bise. CVPR Workshops, page 1854-1862. IEEE, (2022)Characterizing the cancer genome in lung adenocarcinomaB. Weir, M. Woo, G. Getz, S. Perner, L. Ding, R. Beroukhim, W. Lin, M. Province, A. Kraja, L. Johnson and 60 other author(s). Nature, 450 (7171): 893--898 (December 2007)Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.S. Harada, R. Bise, K. Araki, A. Yoshizawa, K. Terada, M. Kurata, N. Nakajima, H. Abe, T. Ushiku, and S. Uchida. ISBI, page 1-5. IEEE, (2023)Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology.H. Tokunaga, B. Iwana, Y. Teramoto, A. Yoshizawa, and R. Bise. ECCV (15), volume 12360 of Lecture Notes in Computer Science, page 430-446. Springer, (2020)Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.S. Takahama, Y. Kurose, Y. Mukuta, H. Abe, A. Yoshizawa, T. Ushiku, M. Fukayama, M. Kitagawa, M. Kitsuregawa, and T. Harada. ISBI, page 1-5. IEEE, (2023)Proportion Estimation by Masked Learning from Label Proportion.T. Okuo, K. Nishimura, H. Ito, K. Terada, A. Yoshizawa, and R. Bise. DALI@MICCAI, volume 14379 of Lecture Notes in Computer Science, page 117-126. Springer, (2023)Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation.X. Liu, K. Araki, S. Harada, A. Yoshizawa, K. Terada, M. Kurata, N. Nakajima, H. Abe, T. Ushiku, and R. Bise. ISBI, page 1-5. IEEE, (2023)Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.K. Araki, M. Rokutan-Kurata, K. Terada, A. Yoshizawa, and R. Bise. EMBC, page 3328-3331. IEEE, (2021)Multi-Stage Pathological Image Classification Using Semantic Segmentation.S. Takahama, Y. Kurose, Y. Mukuta, H. Abe, M. Fukayama, A. Yoshizawa, M. Kitagawa, and T. Harada. ICCV, page 10701-10710. IEEE, (2019)

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Disambiguation of "Yoshizawa, Akihiko"

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Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.

Please choose a person to relate this publication to

Akihiko Fujii

Shin Yoshizawa

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yoshizawa, Akihiko"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.

Please choose a person to relate this publication to

Akihiko Fujii

Shin Yoshizawa

Other publications of authors with the same name

Disambiguation

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Chicago
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Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.