Information and Communications Engineering News
Poster presentation for Master student's study from Suzuki Lab received a prestigious Cum Laude Award at RSNA 2024
The poster presentation for Master student's study from Suzuki Lab received a prestigious Cum Laude Award at RSNA 2024.
RSNA is a top conference in the clinical field of medical imaging with a very narrow acceptance rate of about 25% and attracts top radiologists and medical imaging researchers from all over the world.
At this year’s RSNA, only 19 presentations received the Cum Laude Awards (1.45% of chances) among 1,312 poster presentations that had passed through that narrow gate.
Research Title
Shogo Kodera (M2), Seyed Mohammad Chavoshian (M1), Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki: Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN)
Shogo (left) and Assistant Prof. Jin (right) share their joy of receiving the Cum Laude award via zoom
with Prof. Suzuki (center), who has returned to Japan earlier for work.
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