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- W4382808099 abstract "Nowadays when people are rapidly progressing in technology and various other departments, they are forgetting very basic thing, i.e., living standards and health. World is facing malnutrition and illness at very large scale. Heart disease is one of them where issues are increasing day by day. Due to very high pressure of competitive environment, people are having cardiac arrest at normal basis. Therefore, proposed work develops a model which can predict whether a person has heart disease or not by using CMR images. This model is helpful for everyone to diagnose their disease even at home, so that they can be treated immediately. If someone loads faded images or cropped images, the proposed model can even predict the disease without any limitations." @default.
- W4382808099 created "2023-07-02" @default.
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- W4382808099 date "2023-01-01" @default.
- W4382808099 modified "2023-09-27" @default.
- W4382808099 title "Abnormality Detection in Heart Using Combination of CNN, RNN and U-Net" @default.
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- W4382808099 doi "https://doi.org/10.1007/978-981-99-0973-5_10" @default.
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