Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation

arXiv:2403.10884v1 Announce Type: new
Abstract: Cytology image segmentation is quite challenging due to its complex cellular structure and multiple overlapping regions. On the other hand, for supervised machine learning techniques, we need a large amount of annotated data, which is costly. In recent years, late fusion techniques have given some promising performances in the field of image classification. In this paper, we have explored a fuzzy-based late fusion techniques for cytology image segmentation. This fusion rule integrates three traditional semantic …

abstract annotated data arxiv cellular cs.cv data fusion image machine machine learning machine learning techniques multiple segmentation supervised machine learning type