Information and Communications Engineering News
Poster presentation for Master student's study from Suzuki Lab received the most prestigious Magna Cum Laude Award at RSNA 2024
The poster presentation for Master student's study from Suzuki Lab received the most prestigious Magna 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 6 presentations received the Magna Cum Laude Awards (0.46% of chances) among 1,312 poster presentations that had passed through that narrow gate.
Research Title
Tianyi Qu (Mar. 2024 Master's graduate), Yuqiao Yang (D3), Ze Jin, Kenji Suzuki: Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised massive-training artificial neural networks
Assistant Prof. Jin (right) shares his joy of receiving the Magna Cum Laude award via zoom
with Prof. Suzuki (left), who has returned to Japan earlier for work.
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