Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/222255
Classification of medical images with convolutional networks
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This study explores using Convolutional Neural Networks (CNN) to predict microsatellite instability (MSI) and stability (MSS) from histology images in gastrointestinal cancer. A deep learning model was developed with Keras and TensorFlow in R, applying advanced techniques to histology images. The results show that deep CNN architectures effectively predict MSI and MSS, providing clinicians with a reliable tool to identify the microsatellite stability of tumor tissues.
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Treballs Finals de Grau en Estadística UB-UPC, Facultat d'Economia i Empresa (UB) i Facultat de Matemàtiques i Estadística (UPC), Curs: 2023-2024, Tutor: Ferran Reverter Comes
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LI, Shengnan. Classification of medical images with convolutional networks. [consulted: 9 of June of 2026]. Available at: https://hdl.handle.net/2445/222255