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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/180893
Optimisation of a Machine Learning algorithm applied to detection of cancer-associated fibroblasts
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The activation of certain cells, such as fibroblasts, with the appearance of cancer has been studied and established. In order to accelerate and cheapen breast cancer diagnosis the optimisation of machine learning algorithms can be a powerful tool. Using two different data sets we studied the performance of different machine learning algorithms. We also studied the relevance of the different studied parameters, which could lead to some relevant biomedical conclusions. Further, we discuss the results obtained and discuss key aspects for improving the analysis of such experiments, as well as future directions for the use of Machine Learning in research against cancer
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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutora: Núria Gavara Casas
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NOSÀS POMARES, Marc. Optimisation of a Machine Learning algorithm applied to detection of cancer-associated fibroblasts. [consulted: 9 of June of 2026]. Available at: https://hdl.handle.net/2445/180893