An Improved Approach For Automated Cervical Cell Segmentation With Pointrend

This article discusses various methods for segmenting cervical cells, including those based on similarity of adjacent pixels, iterative threshold and regularization level set algorithms, and deep learning techniques. The use of depth information and shape priors are also explored to improve segmentation accuracy.