Preprocessing: A Step in Automating Early Detection of Cervical Cancer
Abhishek Das, Avijit Kar, Debasis Bhattacharyya
TL;DR
This paper discusses the importance of preprocessing in automating early detection of cervical cancer, emphasizing its role in improving diagnostic accuracy and efficiency.
Contribution
It introduces a novel preprocessing framework tailored for cervical cancer detection, enhancing the performance of subsequent diagnostic algorithms.
Findings
Preprocessing significantly improves detection accuracy.
The proposed method outperforms existing techniques.
Enhanced early diagnosis capabilities.
Abstract
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Taxonomy
TopicsAI in cancer detection