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    Chapter and Conference Paper

    Artificial Intelligence in Radiological COVID-19 Detection: A State-of-the-Art Review

    The requirement for the fast and accurate detection of COVID-19 is of high importance to control the spread of the disease. Recently, Artificial Intelligence and Deep Learning-based techniques have shown great...

    Abhishek Kumar, Pinki Roy in Big Data, Machine Learning, and Applicatio… (2024)

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    Chapter and Conference Paper

    Analysis of Synthetic Data Generation Techniques in Diabetes Prediction

    The problem of inadequate and class imbalanced data is one of the major problems in the classification tasks. Therefore applying synthetic data generation (SDG) approaches to handle class imbalances can be use...

    Sujit Kumar Das, Pinki Roy in Big Data, Machine Learning, and Applicatio… (2024)

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    Chapter and Conference Paper

    ADASemSeg: An Active Learning Based Data Adaptation Strategy for Improving Cross Dataset Breast Tumor Segmentation

    Highly efficient breast ultrasound (BUS) segmentation models trained and tested on samples from one dataset do not usually have a high performance when inference is done on samples from other datasets. The sol...

    Arnab Kumar Mishra, Pinki Roy in Machine Learning, Image Processing, Networ… (2023)