• Dr.K.Dharmarajan
• Dr.K.Abirami
• T.Haripriya

Liver lesions, or hepatic tumors, arise from abnormal liver cell development and may occur either on or within the liver. These tumors, which vary in type due to the liver's diverse cellular composition, are categorized as benign (non-cancerous) or malignant (cancerous). Often discovered incidentally through medical imaging, their diagnosis typically requires a liver biopsy for confirmation. Symptoms of liver masses range from none at all to noticeable issues like abdominal swelling, hepatomegaly, abdominal pain, jaundice, or other liver conditions. Treatment strategies vary depending on the tumor type. Accurate characterization of focal liver lesions (FLLs) is essential for guiding treatment decisions and assessing prognosis. Dynamic contrast- enhanced computed tomography (DCE-CT) is widely regarded as the gold standard for non- invasive, high-resolution imaging of FLLs due to its speed and precision. With the advent of convolutional neural networks (CNNs), deep learning has shown remarkable potential in image analysis tasks. Early identification and management of liver cancer significantly improve survival rates. While dynamic contrast-enhanced MRI provides detailed insights into liver tumor differentiation, the diagnostic process remains influenced by subjective interpretation. To address this, we developed a deep learning system (DLS) using CNNs to classify liver tumors based on enhanced and unenhanced MRI, clinical text data, and laboratory test results, offering a novel approach to diagnosis.

Liver cancer, Focal liver lesions, deep learning, diagnosis, Liver masses, convolutional neural network, Classification, Artificial intelligence, MRI, Multiphase computed tomography.

"An Novel Research of Liver Tumor Detection Using Deep Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.a630-a637, January-2025, Available :http://www.jetir.org/papers/JETIR2501080.pdf

"An Novel Research of Liver Tumor Detection Using Deep Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppa630-a637, January-2025, Available at : http://www.jetir.org/papers/JETIR2501080.pdf