Work

Liver Cancer Prediction Using Deep learning

Year: 2025

Type: article

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. I

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i2.5103

Authors: MAYURI SHELKE -, ATHARVADEV GONJARI -, MANDAR JOSHI -, SAKSHI MANE -, RIDDHI KANDARKAR -

Institution: Marathwada Mitra Mandal's College of Engineering

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410460899