International Journal on Science and Technology

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Liver Cancer Prediction Using Deep learning

Author(s) MAYURI SHELKE, ATHARVADEV GONJARI, MANDAR JOSHI, SAKSHI MANE, RIDDHI KANDARKAR
Country India
Abstract Liver cancer is one of the leading causes of cancer-related mortality worldwide. Accurate and early detection of liver tumors is crucial for improving patient
survival rates. Traditional image segmentation methods, including CNN-based approaches, struggle with accurately segmenting liver tumors due to their small size and irregular boundaries. In this study, we propose an improved deep
learning approach using U-Net, an advanced version of CNN, to enhance segmentation accuracy.
Keywords Liver Cancer, Deep Learning, Image Segmentation, U-Net, CNN, Computed Tomography (CT)
Field Engineering
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-05-17
DOI https://doi.org/10.71097/IJSAT.v16.i2.5103
Short DOI https://doi.org/g9kf6h
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