Difference between revisions of "RETINA"
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| + | == BioMathProject 2018: Extracting medically relevant features from the human retina == | ||
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'''Background''' | '''Background''' | ||
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Retina is the only part of the cardiovascular system which is accessible without any complicated intervention. A medical diagnostic may be possible simply by observing it. Indeed, the retina can reveal potential diseases such as atherosclerosis, hypertension or other pathologies concerning the eye. Assuming that a disease involves more vessels in the retina, a computer extraction of numerical values from images could give a quick overview of the patient's condition. | Retina is the only part of the cardiovascular system which is accessible without any complicated intervention. A medical diagnostic may be possible simply by observing it. Indeed, the retina can reveal potential diseases such as atherosclerosis, hypertension or other pathologies concerning the eye. Assuming that a disease involves more vessels in the retina, a computer extraction of numerical values from images could give a quick overview of the patient's condition. | ||
'''Goal''' | '''Goal''' | ||
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In this project, we aim to establish a correlation between retina's characteristic and pathology. | In this project, we aim to establish a correlation between retina's characteristic and pathology. | ||
'''Methods''' | '''Methods''' | ||
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In order to extract characteristics from retinas, the use of a software that can manipulate images is required. This is why we recommend MATLAB software. The Kolmogorov-Smirnov test is used as a statistical tool to determine if the data are usable and reliable. The results are analysed to find a correlation between numerical characteristics and medical features. | In order to extract characteristics from retinas, the use of a software that can manipulate images is required. This is why we recommend MATLAB software. The Kolmogorov-Smirnov test is used as a statistical tool to determine if the data are usable and reliable. The results are analysed to find a correlation between numerical characteristics and medical features. | ||
'''Dataset''' | '''Dataset''' | ||
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Anonymized data from SKIPOGH, a project listing patients related to hypertension. | Anonymized data from SKIPOGH, a project listing patients related to hypertension. | ||
'''Supervisor''' | '''Supervisor''' | ||
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Mattia Tomasoni | Mattia Tomasoni | ||
'''WIKI''' | '''WIKI''' | ||
| + | Wiki of the presentation: [https://www2.unil.ch/cbg/index.php?title=File:WIKI_II.pdf#filelinks] | ||
Latest revision as of 21:15, 24 May 2018
BioMathProject 2018: Extracting medically relevant features from the human retina
Background
Retina is the only part of the cardiovascular system which is accessible without any complicated intervention. A medical diagnostic may be possible simply by observing it. Indeed, the retina can reveal potential diseases such as atherosclerosis, hypertension or other pathologies concerning the eye. Assuming that a disease involves more vessels in the retina, a computer extraction of numerical values from images could give a quick overview of the patient's condition.
Goal
In this project, we aim to establish a correlation between retina's characteristic and pathology.
Methods
In order to extract characteristics from retinas, the use of a software that can manipulate images is required. This is why we recommend MATLAB software. The Kolmogorov-Smirnov test is used as a statistical tool to determine if the data are usable and reliable. The results are analysed to find a correlation between numerical characteristics and medical features.
Dataset
Anonymized data from SKIPOGH, a project listing patients related to hypertension.
Supervisor
Mattia Tomasoni
WIKI Wiki of the presentation: [1]
