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    Article

    Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals

    Developmental dyslexia, a neurodevelopment reading disorder, can impact even children with average intelligence. The present study examined the brain connectivity in dyslexic and control children during the re...

    Guhan Seshadri N. P., Bikesh Kumar Singh in Medical & Biological Engineering & Computing (2024)

  2. Article

    Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study

    Automatic computer-aided diagnosis (CAD) system has been widely used as an assisting tool for mass screening and risk assessment of infectious pulmonary diseases (PDs). However, such a system still lacks clini...

    Tej Bahadur Chandra, Bikesh Kumar Singh in Medical & Biological Engineering & Computi… (2022)

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    Chapter and Conference Paper

    Prediction of Hydroxyurea Effect on Sickle Cell Anemia Patients Using Machine Learning Method

    The objective of this paper is to predict the effect of hydroxyurea of individuals suffering from Sickle Cell Disease (SCD) using predictive machine learning techniques. Nowadays worldwide sickle cell disease ...

    Bikesh Kumar Singh, Apoorva Ojha in Advances in Biomedical Engineering and Tec… (2021)

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    Chapter and Conference Paper

    Hiding Patient Information in Medical Images: A Robust Watermarking Algorithm for Healthcare System

    Electronically transmission of the medical images is an essential prerequisite in a Healthcare system. During transmission, the medical images can be hacked and altered either partially or in totality, unless ...

    Ritu Agrawal, Manisha Sharma in Advances in Biomedical Engineering and Tec… (2021)

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    Chapter and Conference Paper

    Feature Selection for Classification of Breast Cancer in Histopathology Images: A Comparative Investigation Using Wavelet-Based Color Features

    Breast cancer is taken into account as one of the foremost common kinds of cancer occurring in women worldwide. This work is intended to develop an automated classification system in order to classify the brea...

    Kushangi Atrey, Bikesh Kumar Singh in Advances in Biomedical Engineering and Tec… (2021)

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    Chapter and Conference Paper

    Comparative Investigation of Different Classification Techniques for Epilepsy Detection Using EEG Signals

    Among the major brain abnormalities that have been identified, various remedial strategies are proposed to tackle most of such conditions. One of the serious abnormalities of the nervous system is epilepsy, wh...

    Sunandan Mandal, Manvendra Thakur in Advances in Biomedical Engineering and Tec… (2021)