A lightweight network based on dual-stream feature fusion and dual-domain attention for white blood cells segmentation.

ABSTRACT:

Introduction

Accurate white blood cells segmentation from cytopathological images is crucial for evaluating leukemia. However, segmentation is difficult in clinical practice. Given the very large numbers of cytopathological images to be processed, diagnosis becomes cumbersome and time consuming, and diagnostic accuracy is also closely related to experts' experience, fatigue and mood and so on. Besides, fully automatic white blood cells segmentation is challenging for several reasons. There exists cell deformation, blurred cell boundaries, and cell color differences, cells overlapping or adhesion.

Methods

The proposed method improves the feature representation capability of the network while reducing parameters and computational redundancy by utilizing the feature reuse of Gh

SUBMITTER: Luo Y 

PROVIDER: S-EPMC10507331 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature