Abstract: An unnatural increase of cells in the liver, an essential organ of the body, is called liver cancer, a dan-gerous disorder. A successful course of treatment for this cancer depends on early detection. Nonetheless, be-cause symptoms could not appear until later on, it's frequently difficult to identify it early. A computerized pro-ject was created to help detect liver cancer early in order to address this issue. It does this by initially using CT scans to capture pictures of the liver. Then image is resized into required form and a noise in the image is re-duced using some technic. Next, in order to extract significant features from the photos, the project employs Feature Extraction and extract some features such as color texture edges smoothness area and size. See it as simi-lar to picking.

Keywords: Convolutional Neural Network, CT-Scan, Convolutional layer, Pooling Layer, ReLu Layer, Fully Connected Layer, SoftMax Function.

| DOI: 10.17148/IARJSET.2024.11623