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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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
HOEHERE BUNDESLEHRANSTALT UND BUNDESAMT FUER WEIN- UND OBSTBAU
2025
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| 主題: | |
| オンライン･アクセス: | 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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