/hudaya-2020-all-segmentation

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

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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 (khakim.a@students.unnes.ac.id)
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]