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Automated Lung Tissue Segmentation in CT Images using Multi-Wavelet Filter Banks and Random Forest Algorithm

Automated Lung Tissue Segmentation in CT Images using Multi-Wavelet Filter Banks and Random Forest Algorithm DOI : 10.46335/IJIES.2024.9.2.4 Authors : Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware Abstract – This research introduces an innovative methodology for automated tissue segmentation in lung CT images, aimed at enhancing precision in lung cancer detection. The proposed approach integrates a […]

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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 […]

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