AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH

AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH

Cervical cancer, a leading cause of female mortality globally, results from abnormal cell growth in the cervix, making early detection crucial. This study suggests an automated segmentation approach that is more accurate and faster than traditional methods, which face challenges such as contrast p...

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Bibliographic Details
Main Authors: Khalis Danial Nukman, Khiruddin, Wan Azani, Mustafa, Khairur Rijal, Jamaludin, Khairul Shakir, Ab Rahman, Hiam, Alquran, Syahrul Nizam, Junaini
Format: Article
Language:English
Published: HOEHERE BUNDESLEHRANSTALT UND BUNDESAMT FUER WEIN- UND OBSTBAU 2025
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/47661/1/AUTOMATED%20CERVICAL.pdf
http://ir.unimas.my/id/eprint/47661/
https://www.researchgate.net/publication/388959013_AUTOMATED_CERVICAL_CELL_NUCLEI_SEGMENTATION_BASED_ON_MULTILAYER_UNSUPERVISED_CLUSTERING_ALGORITHM_AND_MORPHOLOGICAL_APPROACH
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Institution: Universiti Malaysia Sarawak
Language: English

Internet

http://ir.unimas.my/id/eprint/47661/1/AUTOMATED%20CERVICAL.pdf
http://ir.unimas.my/id/eprint/47661/
https://www.researchgate.net/publication/388959013_AUTOMATED_CERVICAL_CELL_NUCLEI_SEGMENTATION_BASED_ON_MULTILAYER_UNSUPERVISED_CLUSTERING_ALGORITHM_AND_MORPHOLOGICAL_APPROACH

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