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Description
Amartya Ranjan Saikia Fine needle aspiration cytology (FNAC) entails using a narrow gauge needle to collect a sample of a lesion for microscopic examination. It allows a minimally invasive, rapid diagnosis of tissue but does not preserve its histological architecture. This project presents a comparison of the various fine-tuned transfer learned classification approaches based on deep convolutional neural networks (CNN) for diagnosing the cell samples.