Publications by authors named "M Nirupama"

Article Synopsis
  • The case discusses synchronous tumors in a patient with Xeroderma pigmentosum, highlighting a melanoma on the scalp and an angiosarcoma on the cheek that appeared similar histologically.
  • Melanin presence in the angiosarcoma raised concerns about a potential transdifferentiation from melanoma, but immunohistochemistry tests ruled this out.
  • The study emphasizes how the unique morphology of the tumors helped clarify the diagnosis, as non-cutaneous cancers are rare in patients with Xeroderma pigmentosum.
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Feature selection is an indispensable aspect of modern machine learning, especially for high-dimensional datasets where overfitting and computational inefficiencies are common concerns. Traditional methods often employ either filter, wrapper, or embedded approaches, which have limitations in terms of robustness, computational load, or capability to capture complex interactions among features. Despite the utility of metaheuristic algorithms like Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Whale Optimization (WOA) in feature selection, there still exists a gap in efficiently incorporating feature importance feedback into these processes.

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A laryngoscopically benign lesion with minimal hoarseness may turn out to be mimickers of malignancy or malignancy itself. Histopathological study is mandatory in such cases to rule out malignancy. A descriptive study of histopathological and laryngoscopic findings of benign laryngeal lesions were studies over a period of 4.

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Background & Objective: Cervical cancer is the most common cancer in women worldwide with high mortality, necessitating quicker diagnostic methods. We wish to enhance the existing cervical biopsies of Squamous Intraepithelial Lesions (SIL) using p16 and Ki67 as surrogate markers to assess correlation between its positivity and histological grade of the lesion.

Methods: Analysis of p16 and Ki67 expression was done on 31 histopathologically diagnosed cases of SILs.

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Introduction: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract (GIT) but have a low incidence. Arising from the interstitial cells of Cajal, GISTs occur at different sites in the GIT with stomach being the most common. They can rarely be seen at sites outside the GIT such as omentum, retroperitoneum and are called as extraintestinal GISTs (EGIST).

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