Computer-aided decision-making system for endometrial atypical hyperplasia based on multi-modal and multi-instance deep convolution neural networks-Reference-Cited by-同舟云学术

Computer-aided decision-making system for endometrial atypical hyperplasia based on multi-modal and multi-instance deep convolution neural networks

Published:2021-12-16 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Liao Xin,Zheng Xin,He Jin,Li Qingli^ORCID

Funder

Key laboratory open fund of Sichuan

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06576-6.pdf

Reference48 articles.

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2. Bayoudh K, Knani R, Hamdaoui F, Mtibaa A (2021) A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets. Vis Comput. https://doi.org/10.1007/s00371-021-02166-7

3. Brasil LM, Azevedo FMD, Barreto JM (2001) Hybrid expert system for decision supporting in the medical area: complexity and cognitive computing. Int J Med Inform 63(1–2):19–30

4. Campanella G, Silva V, Fuchs TJ (2018) Terabyte-scale deep multiple instance learning for classification and localization in pathology. CVPR2018.arXiv:1805.06983.

5. Carlson J, Mccluggage WG (2019) Reclassifying endometrial carcinomas with a combined morphological and molecular approach. Curr Opin Oncol 31:411–419. https://doi.org/10.1097/CCO.0000000000000560

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