Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound
For many challenging medical imaging tasks involving sequences, video-level labels alone
are insufficient to train accurate disease classification models and do not carry information …
are insufficient to train accurate disease classification models and do not carry information …
How good are synthetic medical images? an empirical study with lung ultrasound
Acquiring large quantities of data and annotations is effective for developing high-
performing deep learning models, but is difficult and expensive to do in the healthcare …
performing deep learning models, but is difficult and expensive to do in the healthcare …
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports
The absence of adequately sufficient expert-level tumor annotations hinders the
effectiveness of supervised learning based opportunistic cancer screening on medical …
effectiveness of supervised learning based opportunistic cancer screening on medical …
On-the-fly point annotation for fast medical video labeling
Purpose: In medical research, deep learning models rely on high-quality annotated data, a
process often laborious and time-consuming. This is particularly true for detection tasks …
process often laborious and time-consuming. This is particularly true for detection tasks …