Application of Deep Learning Methods to Processing of Noisy Medical Video Data

arXiv:2404.10319v1 Announce Type: cross
Abstract: Cells count become a challenging problem when the cells move in a continuous stream, and their boundaries are difficult for visual detection. To resolve this problem we modified the training and decision making processes using curriculum learning and multi-view predictions techniques, respectively.

abstract application arxiv become cells continuous count cs.cv cs.lg curriculum curriculum learning data decision decision making deep learning detection making medical predictions processes processing training type video video data view visual