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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...
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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...
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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...