Multi-Scale Attention-Based High-Resolution Network for Low-Contrast Medical Image Segmentation

Authors

  • K. Punnam Chendar, Dasari Swamy Author

DOI:

https://doi.org/10.48047/6v2xkj67

Keywords:

Low-Contrast Medical Image Segmentation, Multi-Scale Dense Connections, Dilated Convolutions, Multi Task Learning, Contour Regression, Difficulty-Guided Cross-Entropy Loss

Abstract

This paper presents a deep learning model for low-contrast medical image segmentation, where traditional methods struggle due to blurry and indistinct boundaries. Accurate segmentation in such  images is challenging because adjacent anatomical structures often have weak or vanishing edges, making boundary

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Published

18.08.2026

Issue

Vol. 16 No. 2 (2026): volume 16 issue 2(2026)

Section

Articles

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How to Cite

Multi-Scale Attention-Based High-Resolution Network for Low-Contrast Medical Image Segmentation. (2026). International Journal of Information and Electronics Engineering, 16(2), 672-679. https://doi.org/10.48047/6v2xkj67