Python Image Processing Projects - Liver Disease Classification using Deep Learning - ClickMyProjec смотреть онлайн

Liver cancer is a sort of dangerous cancer and difficult to detect. It usually causes death for both gender men & women therefore, so it is more necessary for care to immediately & correctly examine nodules.
Accordingly, several techniques have been implemented to detect liver cancer in the early stages. In this process a comparative analysis of different techniques based on machine learning for detection liver cancer have been presented.
There have been too many methods developed in recent years to diagnose liver cancer, most of them utilizing CT scan images. In addition, feature extraction methods are paired with deep learning algorithms to use image recognition to extract the features from the liver cancer images.
From this study it has been found that CT scan images are more suitable to have the accurate results. Therefore, mostly CT scan images are used for detection of cancer. In Addition, the results that obtained from the methods based deep learning techniques achieved higher accuracy than the methods using classical machine learning techniques.
The machine learning algorithm is implemented and predict the result based on accuracy, precision, recall and f1 score

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