Accuracy Improvement of Cell Image Segmentation Using Feedback Former

ArXi:2408.12974v3 Announce Type: replace Semantic segmentation of microscopy cell images by deep learning is a significant technique. We considered that the Transformers, which have recently outperformed CNNs in image recognition, could also be improved and developed for cell image segmentation. Transformers tend to focus on contextual information than on detailed information. This tendency leads to a lack of detailed information for segmentation.