Native machine learning for noisy microscopic data processing

Danil Afonchikov, Elena Kornaeva, Irina Makovik, Alexey Kornaev

Keywords: noisy image and video data processing, curriculum learning, multi-view, microscopic data processing, complete blood count

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.

Submission Number: 183