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

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 …

Cancer is the second most common cause of death of human beings, whereas liver cancer
is the fifth most common cause of mortality. The prevention of deadly diseases in living …

Deaths from liver cancer are considerable. time-consuming manual cancer tissue detection.
Hence, a computer-aided diagnostic (CAD) aids in selecting the proper course of action …

The most common and widespread disease among today's population is liver disease,
which is caused by excessive alcohol consumption, polluted gas produced by various …

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 cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …

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 …

Liver cancer presents a substantial threat to life and is recognized as one of the rapidly
growing forms of cancer globally. According to a 2020 World Health Organization study …

The most shared reason of cancer demise is liver cancer, which is detected by analysing
changes in the grey level liver tissue in computer Tomography images. A computer-assisted …