Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

Herein we have stepped-up on a strategic spectroscopic modality by utilizing label free
ultrasensitive surface enhanced Raman scattering (SERS) technique to generate a …

Ultrasensitive detection of cancer biomarkers via single-cell analysis through Raman
imaging is an impending approach that modulates the possibility of early diagnosis. Cervical …

In the field of pathology it is clear that molecular genomics and digital imaging represent two
promising future directions, and both are as relevant to the tumor microenvironment as they …

Cervical cancer along with micro classification are one of the 2 major forms of cancer being
observed amongst women across the globe. A cervical cancer results in dead nucleus or …

Gold nanoparticles/785 porous silicon photonic crystals (Au NPs/785 PSi PhCs) were used
as substrates in combination with a low-concentration serum surface-enhanced Raman …

In this paper, we focus on the problem of cell segmentation in digitized Pap smear images,
which is a prerequisite of automatically detecting cervical cancer in its early stage. According …

Introduction: Cervical cancer is considered as the major curse to women society of the world
due to their low survival rate. However, the prognosis of cervical cancer at an early stage …

Machine learning (ML) utilizes calculations to parse information and settle on educated
choices dependent on what it has realized. Deep learning (DL) is a subfield of ML. While …

The accurate and reliable derivation of the pap smear cell, which contains cytoplasm and
nucleus regions, depends on the segmentation process employed in the cervical cancer …