6 Result(s)
within
Communications Engineering, Networks
Jyothisha J. Nair
Conference Paper
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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...
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Chapter and Conference Paper
Thermal Facial Expression Recognition Using Modified ResNet152
expression for emotion detection has taken wide popularity with visible images using machine learning techniques and convolutional neural networks. However, emotion recognition from visible images is not ...
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Chapter and Conference Paper
Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine
to WHO, the most dangerous disease prevailing among women is breast cancer. It is among one of the diseases that is untraceable in the beginning. About 1 in 8 women suffer breast cancer and even results...
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Chapter and Conference Paper
Computing Articulation Points Using Maximal Clique-Based Vertex Classification
The bridge vertices of an unweighted undirected graph are those vertices whose removal increases the number of connected components of the graph, i.e., the vertices whose removal disconnects the graph. However...
