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    Chapter and Conference Paper

    Nuclei Segmentation Using UNet with EfficientNetV2 as Encoder

    Nucleus segmentation of H &E-stained (hematoxylin and eosin) histopathology images is a crucial step in develo** a computer-aided diagnostic (CAD) system for cancer prediction and diagnosis. Nucleus segmenta...

    Manju Balakrishna Pillai, Jyothisha J. Nair in ICT Systems and Sustainability (2023)

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    Chapter and Conference Paper

    Deep Learning Approach for Brown Spot Detection and Nitrogen Deficiency Estimation in Rice Crops

    More than half of the people in the world rely on rice as their primary energy source. Two main challenges in rice cultivation are plant diseases and nutrient deficiency. Brown spots on leaves caused by the fu...

    R. Hridya Krishna, Anjali Manoj, K. P. Vaishnavi in ICT Systems and Sustainability (2023)

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    Chapter and Conference Paper

    Ensemble Deep Learning Model for Breast Histopathology Image Classification

    Breast cancer is a life-threatening disease that affects individuals all over the world. As a consequence, effective and precise breast cancer screening is crucial. Early detection of breast cancer allows pati...

    Aiswarya Venugopal, V. Sreelekshmi, Jyothisha J. Nair in ICT Infrastructure and Computing (2023)