Library-Abstract-UNITED SOCIETIES OF SCIENCE

Home / USS Digital Library / Article / Details

Advancing Liver Cancer Diagnosis with Deep Learning Techniques

Publisher: IEEE

Authors: BEESAM YASHASVI, SRM INSTITUTE OF SCIENCE AND TECHNOLOGY Reddy Gnana Vardhan, SRM Institute of Science and Technology * Vanjangi Tilak, SRM Institute of Science and Technology *

Favorite
Share:

Abstract:

Early detection and precise delineation of liver tumors are critical for improving prognostic outcomes in patients with hepatocellular carcinoma (HCC). This study introduces two novel deep learning architectures designed for automated liver tumor segmentation and lesion classification using computed tomography (CT) scans, integrating domain specific data augmentations for enhanced robustness

Keywords: Hepatocellular carcinama, Deep learning, Tumor segmentation, Lesion classification, Convolution neural network, Attenti

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

ABSTRACT LIBRARY

Advancing Liver Cancer Diagnosis with Deep Learning Techniques

Publisher: IEEE

Abstract:

USS WeChat Official Account