Titlebook: Computer Vision and Image Processing; 6th International Co Balasubramanian Raman,Subrahmanyam Murala,Puneet G Conference proceedings 2022 T

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,Classification of?Brain Tumor MR Images Using Transfer Learning and?Machine Learning Models,1e?2, 1e?3 and 1e?4 and sgdm, adam, rmsprop as optimizers. Further the same networks are experimented using classifiers support vector machine (SVM), k nearest neighbor (KNN) and decision tree (DT) for varied learning rates and optimizers. Inception-v4 network has observed an highest overall accurac

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,Deep-TDRS: An Integrated System for?Handwritten Text Detection-Recognition and?Conversion to?Speechart TTS (Text to Speech) model DeepVoice3 for converting the text to speech which gets compiled as an audio book. The developed handwritten text detection and recognition model is comparable with the state of the art.

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,Application of?Deep Learning Techniques for?Prostate Cancer Grading Using Histopathological Images,-class classification problem, the EfficientNet-B7 model has achieved the highest classification accuracy of 90.90%. With such a high rate of success, the EfficientNet-B7 model may be a useful method for pathologists in determining the stage of prostate cancer.

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