Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN

Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN

The accurate classification of kidney tumors necessitates the utilization of various diagnostic techniques. Within the domain of medical imaging tests, the integration of multi-modal medical imaging represents an innovative approach to enhance diagnostic precision. However, the integration of multi-...

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Bibliographic Details
Main Authors: Srisopitsawat Pavarut, Wongsakorn Preedanan, Itsuo Kumazawa, Kenji Suzuki, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fuji
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Kidney tumor
deep learning
multi-modal
image-to-image translation
GANs
Online Access:https://ieeexplore.ieee.org/document/10367977/

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