Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Schonberger, Dana"'
Autor:
Specktor-Fadida, Bella, Levchakov, Anna, Schonberger, Dana, Ben-Sira, Liat, Ben-Bashat, Dafna, Joskowicz, Leo
Deep learning techniques depend on large datasets whose annotation is time-consuming. To reduce annotation burden, the self-training (ST) and active-learning (AL) methods have been developed as well as methods that combine them in an iterative fashio
Externí odkaz:
http://arxiv.org/abs/2308.10727
Autor:
Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang
This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Interven