Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

Chenqi Zhang; Maik Herbig; Yuqi Zhou; Masako Nishikawa; Mohammad Shifat-E-Rabbi; Hiroshi Kanno; Ruoxi Yang; Yuma Ibayashi; Ting-Hui Xiao; Gustavo Rohde; Masataka Sato; Satoshi Kodera; Masao Daimon; Yutaka Yatomi; Keisuke Goda

Presentation information

Oral presentation

3 Optics and Photonics » 3.2 Information photonics and image engineering (formerly 3.3)

[15p-A202-1~14] 3.2 Information photonics and image engineering (formerly 3.3)

Wed. Mar 15, 2023 1:00 PM - 5:30 PM A202 (Building No. 6)

Naoya Tate(Kyushu Univ.), Daisuke Barada(Utsunomiya Univ.), Yusuke Saita(Wakayama Univ.)

3:15 PM - 3:30 PM

△ [15p-A202-7] Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

〇(D)Chenqi Zhang¹, Maik Herbig¹, Yuqi Zhou¹, Masako Nishikawa², Mohammad Shifat-E-Rabbi³, Hiroshi Kanno¹, Ruoxi Yang¹, Yuma Ibayashi¹, Ting-Hui Xiao¹, Gustavo Rohde³, Masataka Sato², Satoshi Kodera², Masao Daimon², Yutaka Yatomi², Keisuke Goda^1,5,4,6 (1.UTokyo, 2.UTokyo Hospital, 3.UVA, 4.UCLA, 5.CYBO, 6.Wuhan University)

Keywords:COVID-19, Platelet imaging, Machine learning