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An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.

C. Wang, Y. Chen, F. Liu, M. Elliott, C. Kwok, C. Pena-Solorzano, H. Frazer, D. McCarthy, and G. Carneiro. IEEE Trans. Medical Imaging, 43 (1): 392-404 (January 2024)

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Alex Frazer

Aili Helenius

Anttiheikki Helenius

Daniel Frazer Whybrew

Helen Scherer

Other publications of authors with the same name

Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills.Y. Aquino, W. Rogers, A. Braunack-Mayer, H. Frazer, K. Win, N. Houssami, C. Degeling, C. Semsarian, and S. Carter. Int. J. Medical Informatics, (2023)Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.C. Wang, Y. Chen, Y. Liu, Y. Tian, F. Liu, D. McCarthy, M. Elliott, H. Frazer, and G. Carneiro. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 14-24. Springer, (2022)Learning Support and Trivial Prototypes for Interpretable Image Classification.C. Wang, Y. Liu, Y. Chen, F. Liu, Y. Tian, D. McCarthy, H. Frazer, and G. Carneiro. ICCV, page 2062-2072. IEEE, (2023)An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.C. Wang, Y. Chen, F. Liu, M. Elliott, C. Kwok, C. Pena-Solorzano, H. Frazer, D. McCarthy, and G. Carneiro. IEEE Trans. Medical Imaging, 43 (1): 392-404 (January 2024)BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations.Y. Chen, Y. Liu, C. Wang, M. Elliott, C. Kwok, C. Peña-Solórzano, Y. Tian, F. Liu, H. Frazer, D. McCarthy and 1 other author(s). CoRR, (2023)Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.C. Wang, Y. Chen, F. Liu, D. McCarthy, H. Frazer, and G. Carneiro. CoRR, (2023)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.Y. Chen, H. Wang, C. Wang, Y. Tian, F. Liu, M. Elliott, D. McCarthy, H. Frazer, and G. Carneiro. CoRR, (2022)Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.Y. Chen, H. Wang, C. Wang, Y. Tian, F. Liu, Y. Liu, M. Elliott, D. McCarthy, H. Frazer, and G. Carneiro. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)

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Disambiguation of "Frazer, Helen"

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An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.

Please choose a person to relate this publication to

Alex Frazer

Aili Helenius

Anttiheikki Helenius

Daniel Frazer Whybrew

Helen Scherer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Frazer, Helen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.

Please choose a person to relate this publication to

Alex Frazer

Aili Helenius

Anttiheikki Helenius

Daniel Frazer Whybrew

Helen Scherer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.