Liver Tumour is one of the major causes of human death. Lack of early recognition results in
major health problems and may even cause harm to life. Identification and medication of …

Liver tumors are one of the life-threatening cancers with the fastest-growth rates worldwide.
Early detection of tumors may therefore reduce morbidity and increase the survival rate. The …

Hepatocellular carcinoma (HCC) is the world's sixth-most common malignancy and the
fourth-leading cause of cancer death. This paper introduces an early diagnose to HCC using …

Liver cancer is one of the serious disease these days. Every year almost 800,000 people get
detect of liver cancer and 700,000 died out of that. But it is very difficult to detect it at early …

The high variation in the size of tumor, location, depth, intimate boundaries of other organs
around liver, liver tumor segmentation is the most important yet challenging task. The size …

This research presents a deep learning framework designed to automatically detect and
classify liver tumors in CT images, leveraging Convolutional Neural Networks (CNNs). The …

Liver tumors segmentation from computed tomography (CT) images is an essential task for
diagnosis and treatments of liver cancer. However, it is difficult owing to the variability of …

Background: Liver cancer is the sixth most common cancer worldwide. According to WHO
data in 2017, the liver cancer death in Ethiopia reached 1040 (0.16%) from all cancer …

One of the traditionally used methods for segmenting images is by using a convolutional
neural network (CNN). CNN is helpful in various applications like object detection, image …

Accurate segmentation and categorization of liver tumours are crucial for the diagnosis and
management of carcinoma or metastases. The liver tumour presents a challenging problem …