SIPaKMeD
PulseAugur coverage of SIPaKMeD — every cluster mentioning SIPaKMeD across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Contrast enhancement boosts cervical cancer classification accuracy in CNNs
A new research paper published on arXiv explores the effectiveness of image preprocessing techniques for improving cervical cancer classification using deep learning models. The study evaluated two methods, a PMD filter…
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New framework enhances reliability of AI for cervical cytology classification
Researchers have developed a novel framework called Hybrid-K ensemble selection to improve the reliability of cervical cytology classification using deep learning models. This framework focuses on enhancing calibrated c…
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New AI framework boosts cervical cancer screening accuracy
Researchers have developed a new framework for classifying cervical cytology images to aid in automated cervical cancer screening. This method incorporates a geometry-aware Gaussian prior and an axial attention module, …