Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation.
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| Title: | Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation. |
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| Authors: | Wibowo, Adi1, arissugiharto@lecturer.undip.ac.idbowo.adi@live.undip.ac.id, Triadyaksa, Pandji2, p.triadyaksa@fisika.fsm.undip.ac.id, Sugiharto, Aris1, ekoadisarwoko@lecturer.undip.ac.id, Sarwoko, Eko Adi1, fajar@lecturer.undip.ac.id, Nugroho, Fajar Agung1, Arai, Hideo3, fukuoka.hideo@gmail.com, Kawakubo, Masateru4, kawakubo.masateru.968@m.kyushu-u.ac.jp |
| Source: | Journal of Imaging; Jul2022, Vol. 8 Issue 7, p194-194, 16p |
| Database: | Applied Science & Technology Source |
| ISSN: | 2313433X |
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| DOI: | 10.3390/jimaging8070194 |
