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What is Lung & Colon Cancer Image Classification about?

This thesis presents a study on classifying lung and colon cancer histopathological images using a lightweight feedforward CNN network, aiming to improve early detection and diagnostic accuracy. The research utilizes a dataset of 25,000 images, applying deep learning techniques to achieve an accuracy rate of 92.52% in multi-class predictions. The work is supervised by A.H.M. Zadidul Karim at the University of Asia Pacific and is part of the requirements for a Bachelor of Science in Electrical and Electronic

Author

21108005

Language

EN