most citedOptimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2024

Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement

Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid +4

This study presents an advanced approach to lumbar spine segmentation using deep learning techniques, focusing on addressing key challenges such as class imbalance and data preproc…

eess.IV2024★ 1 cited

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment

Kazi Shahriar Sanjid, Md. Tanzim Hossain, Md. Shakib Shahariar Junayed +1

Deep learning has revolutionized medical imaging by providing innovative solutions to complex healthcare challenges. Traditional models often struggle to dynamically adjust feature…