A deep learning method and device for bone marrow imaging cell detection.

ABSTRACT:

Background

Morphological analysis of bone marrow cells is considered as the gold standard for the diagnosis of leukemia. However, due to the diverse morphology of bone marrow cells, extensive experience and patience are needed for morphological examination. automatic diagnosis system through the comprehensive application of image analysis and pattern recognition technology is urgently needed to reduce work intensity, error probability and improves work efficiency.

Methods

In this article, we establish a new morphological diagnosis system for bone marrow cell detection based on the deep learning object detection framework. The model is based on the Faster Region-Convolutional Neural Network (R-CNN), a classical object detection model. The system automatically detects bone mar

SUBMITTER: Liu J 

PROVIDER: S-EPMC8908139 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature