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eess.IV2022★ 1 cited
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda +4
In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been develope…
cs.CV2022
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches
Tatsuya Yokota, Hidekata Hontani
This study proposes a framework for manifold learning of image patches using the concept of equivalence classes: manifold modeling in quotient space (MMQS). In MMQS, we do not cons…