Information and Communications Engineering News
Poster Presentation by Suzuki Lab Doctoral Student Receives Best Paper Award at EMA4MICCAI 2026 Workshop
Our paper received the Best Paper Award at the 2nd MICCAI Workshop on Efficient Medical Artificial Intelligence (EMA4MICCAI 2026 Workshop), held in Strasbourg, France, on October 1, 2026.
This research was conducted by our doctoral student, Mustain Billah.
- Research Title:
- Mustain Billah (D3), Wahyu Rahmaniar, Ze Jin, Kenji Suzuki: MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings
- Research：
- By integrating the small-data AI model developed by the Suzuki Laboratory with an efficient learning method, we demonstrated that an extremely lightweight AI model trained on only a small amount of medical imaging data can outperform large-scale AI models in lung nodule classification.
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