huedaya / hudaya-2020-all-segmentation

Acute lymphoblastic leukemia (ALL) segmentation method based on clustering algorithm modification of Vogado's (2016) method

Hudaya (2020) ALL Segmentation

Acute lymphoblastic leukemia (ALL) segmentation method based on clustering algorithm modification of Vogado's (2016)^[1] method. All source code available on https://github.com/elybin/hudaya-2020-all-segmentation.
Khakim. A.N. Hudaya ([e-mail])
Licensed Under MIT

Datasets

ALL-IDB by F. Scotti^[2] being used on this research.

Index of Files

./README.md (this file)

./vogado_method.m

original source code of Vogado's^[1] method. Forked from this repo.

./vogado_method.py

Rewritten version in Python.

./proposed_method.py

Proposed method source code.

./vogado_vs_proposed.py

Two methods being obtained in single operation.

Ref

1. Vogado, L. H., de MS Veras, R., Andrade, A. R., e Silva, R. R., De Araujo, F. H., & De Medeiros, F. N. (2016, December). Unsupervised leukemia cells segmentation based on multi-space color channels. In 2016 IEEE International Symposium on Multimedia (ISM) (pp. 451-456). IEEE. [DOI: 10.1109/ISM.2016.0103]
2. R. Donida Labati, V. Piuri, F. Scotti, "ALL-IDB: the acute lymphoblastic leukemia image database for image processing", in Proc. of the 2011 IEEE Int. Conf. on Image Processing (ICIP 2011), Brussels, Belgium, pp. 2045-2048, September 11-14, 2011. ISBN: 978-1-4577-1302-6. [DOI: 10.1109/ICIP.2011.6115881]