Artificial intelligence methodologies for Covid-19 detection in chest CT and X-ray images
Bientinesi, Giorgio (A.A. 2020/2021) Artificial intelligence methodologies for Covid-19 detection in chest CT and X-ray images. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Marco Querini, pp. 60. [Bachelor's Degree Thesis]
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Abstract/Index
Medical applications. Ultrasound detection of nodules. Early diagnosis of alzheimer's disease (AD). Detection of diabetic retinopathy. Pathological gastric cancer. Related works. Models explanation. Convolutional neural network. Support vector machine. Random forest. Logistic regression. Data and methodologies. Dataset. Pre-processing. Parameter hypertuning. Models and results. Premise. Convolutional neural network. SVM. Random forest. Logistic regression. Results analysis, conclusions and potential develo. Covid-19 identification software.
References
Bibliografia: pp. 59-60.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Querini, Marco |
| Academic Year: | 2020/2021 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 Oct 2021 06:44 |
| Last Modified: | 22 Oct 2021 06:44 |
| URI: | https://tesi.luiss.it/id/eprint/30504 |
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