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Authors : Jaya Shrivastav , Dr. Ranu Pandey DOI : 10.46335/IJIES.2024.9.6.21 Article Link Abstract – Lung cancer continues to be one of the most lethal malignancies worldwide, primarily due to its late-stage detection and the complexity of accurate diagnosis using traditional methods. Early diagnosis significantly enhances treatment outcomes, yet current clinical practices, which often rely […]

Attention-Enhanced Residual U-Net with Hybrid Loss for Robust Lung Cancer Segmentation

Authors : Jaya Shrivastav, Dr. Ranu Pandey DOI : 10.46335/IJIES.2025.10.4.16 Article Link Abstract – Lung cancer continues to be one of the deadliest cancers globally, with early detection playing a critical role in improving survival rates. In this work, we present an advanced deep learning framework for lung cancer segmentation using an Attention-Enhanced U-Net architecture […]

Automated Lung Cancer Detection System Using Computed Tomography Images

Authors : Ethodu Sravani, Vinutha G, Shanti Talluri, Mithun C K ,Mrs.Vijaya Laxmi Mekali Article Link Abstract –Lung malignancy is the most widely recognized and destructive illness that is caused because of uncontrolled cell development in the lung territories. Among alternate sorts of diseases lung tumors stands first as overall executioner. CT-Scan Thorax is one of […]