TY - GEN
T1 - Implementation of a Consistent White Blood Cell Segmentation Based on Handcraft Approach
AU - Diaz-Resendiz, Jose L.
AU - Ponomaryov, Volodymyr
AU - Almaraz-Damian, Jose A.
AU - Reyes-Reyes, Rogelio
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - White blood cell segmentation is one of the most important and complex tasks in medical computer image analysis. In this article, we propose a simple, efficient, straightforward, and consistent algorithm that does not require high-performance processing hardware such as GPUs or TPUs for white blood cell segmentation in blood and bone marrow smear images. The performance of the novel method is tested with 2371 images, which no other state-of-the-art method has done. Experimental results have shown that the proposed method outperforms several state-of-the-art methods.
AB - White blood cell segmentation is one of the most important and complex tasks in medical computer image analysis. In this article, we propose a simple, efficient, straightforward, and consistent algorithm that does not require high-performance processing hardware such as GPUs or TPUs for white blood cell segmentation in blood and bone marrow smear images. The performance of the novel method is tested with 2371 images, which no other state-of-the-art method has done. Experimental results have shown that the proposed method outperforms several state-of-the-art methods.
KW - handcraft segmentation
KW - leukemia dataset
KW - medical image processing
KW - white blood cell segmentation
UR - http://www.scopus.com/inward/record.url?scp=85142388011&partnerID=8YFLogxK
U2 - 10.1109/ICFSP55781.2022.9925017
DO - 10.1109/ICFSP55781.2022.9925017
M3 - Contribución a la conferencia
AN - SCOPUS:85142388011
T3 - 2022 7th International Conference on Frontiers of Signal Processing, ICFSP 2022
SP - 70
EP - 75
BT - 2022 7th International Conference on Frontiers of Signal Processing, ICFSP 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Frontiers of Signal Processing, ICFSP 2022
Y2 - 7 September 2022 through 9 September 2022
ER -