@inproceedings{48d9a312757e4c3dba696a46825d72d4,
title = "A Novel Method Based on Watershed and Transfer Learning for Recognizing Immature Precursor Cells",
abstract = "It is an effective way to use digital image processing method to assist medical research. This paper presents a hybrid approach based on watershed and transfers learning method to automatically segment, characterize, and classify the particular immature precursor (IP) cells in bone marrow pathological (BMP) images. In segmentation phase, we use adaptive morphological reconstruction to accentuate the cell shapes and use improved marker-controlled watershed to segment the cells. Eleven morphological and statistical features are then extracted from those samples. In classification phase, we use transfer learning method to make use of the assistant sample set and generate a strong SVM classifier. Experimental results show the proposed method has a better performance, and the result lays the foundation for study of the correlations between the IP cells in BMP images and the relapse of acute myeloid leukemia (AML).",
keywords = "AML, SVM, Transfer learning, Watershed",
author = "Xuehua Liu and Guitao Cao and Dan Meng",
year = "2014",
doi = "10.1007/978-3-642-54924-3\_38",
language = "英语",
isbn = "9783642549236",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "405--416",
booktitle = "Foundations of Intelligent Systems - Proceedings of the 8th InternationalConference on Intelligent Systems and Knowledge Engineering, ISKE 2013",
address = "德国",
note = "8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013 ; Conference date: 20-11-2013 Through 23-11-2013",
}