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Conference Aug 2026

AI-Driven Medical Image Segmentation for Early Tumor Identification in MRI Scans

In this paper, a Hybrid Residual Attention Transformer U-Net (HRAT-UNet) model is proposed to solve the problem of accurate and interpretable brain tumor segmentation. In the proposed framework author have implemented Adaptive Frequency-Spatial Normalization (AFSN) with the aim of improving tumor-specific spectral feat...

Srinivas Babu Gottipati, Syed Fouzaan Albeez, S. Garg et al. · 0 citations
Open access Aug 2026

A Robust and Secure High-Capacity Coverless Information Hiding Scheme Using Deep Learning

Coverless image steganography hides secret information without directly changing the cover image. Because the original image is not modified, it is more difficult for image steganalysis tools to detect the hidden information. In this research, Wasserstein Generative Adversarial Networks (WGAN) and Local Binary Pattern...

Vijaysinh K. Jadeja, Khyati Rami, Swati Patel et al. · 1 citation

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