A hybrid cell image segmentation method based on the multilevel improvement of data

Author:

Sheikh Ishfaq Majeed,Chachoo Manzoor Ahmad

Publisher

Elsevier BV

Subject

Cell Biology,Developmental Biology,General Medicine

Reference49 articles.

1. Analysis Caicedo J.C., Roth J., Goodman A., Becker T., Karhohs K.W., McQuin C., Singh S., Carpenter A.E. Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images. bioRxiv. 2018335216. https://doi.org/10.1101/335216. 2023.

2. Khamael AL-Dulaimi, Jasmine Banks, Kien Nguyen, Aiman Al-Sabaawi, Inmaculada Tomeo-Reyes, Vinod ChandranSegmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Hematology Microscope Images: A Review–Challenges, Current and Future Potential Techniques IEEE Reviews in Biomedical Engineering, 2020, Available [Online] https:// doi.org /10.1109 /RBME.2020.3004 639.

3. Ishfaq Majeed Sheikh and Manzoor Ahmad Chachoo ” advanced machine learning for leukaemia detection based on white blood cell segmentation” in springer CCIS volume 1170, on 5 November 2020, Available [online] 〈https://doi.org/10.1007/978–981-15–9671-1_17〉.

4. A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation;Feilong Cao;Neural Comput. Appl.,2017

5. Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning;Greenwald;Nat. Biotechnol.,2022

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