Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mukku, Lalasa; Lamani, Manjunath Ramanna; Hegde, Lavanya; Mahapurush, Prathima; Mahapurush, Shivanandaswamy Title A name given to the resource Precise cervical cancer cell boundary denoising and segmentation with adaptive wavelet-spectral enhancement Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Advances in Intelligent Informatics;Volume;12;Issue;1;pp.136-164 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.26555/ijain.v12i1.2267" target="_blank" rel="noreferrer noopener">https://doi.org/10.26555/ijain.v12i1.2267</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034406727?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034406727?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mukku L., CHRIST (Deemed to be University), Bangalore, 560074, India; Lamani M.R., Moodlakatte Institute of Technology, Kundapura, 576217, India; Hegde L., GOVERNMENT SKSJTI, Bangalore, 560001, India; Mahapurush P., SKSVMACET Gadag, India; Mahapurush S., Moodlakatte Institute of Technology, Kundapura, 576217, India Description An account of the resource Accurate segmentation of cell nuclei in cervical cytology images is crucial for automated cervical cancer screening, yet existing methods struggle with blurred boundaries, noise-induced degradation, and topologically implausible predictions. The current research proposes Cell-Seg Tool, a novel triplet-branch diffusion AI tool that synergistically integrates three innovations to address these limitations. The Wavelet-Enhanced Contour Refinement Branch employs a learnable multi-scale discrete wavelet transform with adaptive coefficient attention to dynamically enhance boundary features across horizontal, vertical, and diagonal orientations. The Adaptive Spectral Noise Suppression module performs dual-domain processing using DCT-based filtering and uncertainty-guided fusion, coupled with bidirectional anchor semantic feedback to couple cross-branch information. The Topology-Aware Hybrid Loss integrates a focal Tversky loss, a persistent homology loss, a directional boundary loss, a skeleton completeness loss, and a diffusion-noise MSE loss for multi-objective optimization. Comprehensive experiments on multiple datasets demonstrate superior performance, achieving 94.45% Dice coefficient and 19.2% reduction in boundary localization error compared to state-of-the-art methods. Unlike prior work that applies these techniques independently, this work demonstrates that their adaptive, synergistic integration within a diffusion-based framework yields substantial improvements in boundary accuracy and topological correctness. 2026 The Author(s). Subject The topic of the resource Adaptive wavelet-spectral; Cell boundary denoising; Cervical cancer; Cervical cells; Segmentation enhancement Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Relation A related resource ISSN: 24426571; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online