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Due to its high death rate, liver cancer continues to pose serious threat to world health. Tumors growing on the liver can cause liver cancer. This liver malignancy has several different forms. Cancer of the liver is frequent yet severe. The most common cause of this liver cancer is chronic liver disease, such as cirrhosis from hepatitis B or hepatitis C. Long-term liver problems are associated with an increased risk of liver cancer, the most frequent type of liver cancer. Medications may include chemotherapy, hardening or heating the cancer cells, transplantation, and surgery. In this work, we employ neural networks to analyze data and identify important characteristics for the identification of liver cancer.

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Neural Networks Approach for Liver Cancer Classification

  • 会议论文

  • 发表日期：

    2025年

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  • Vijaya Lakshmi Adluri,
  • Mohan Aditya Dondapati,
  • Maadesh Darisi,
  • John Paul Devapooja,
  • Kaushik Chintalapati

摘要

Due to its high death rate, liver cancer continues to pose serious threat to world health. Tumors growing on the liver can cause liver cancer. This liver malignancy has several different forms. Cancer of the liver is frequent yet severe. The most common cause of this liver cancer is chronic liver disease, such as cirrhosis from hepatitis B or hepatitis C. Long-term liver problems are associated with an increased risk of liver cancer, the most frequent type of liver cancer. Medications may include chemotherapy, hardening or heating the cancer cells, transplantation, and surgery. In this work, we employ neural networks to analyze data and identify important characteristics for the identification of liver cancer.