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  4. Deblurring Medical Images Using a New Gr ...

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Cited by 4
Deblurring Medical Images Using a New Grünwald-Letnikov Fractional Mask

Enhancing Medical Image Classification with Noise-Injected Multi-Head Attention
Nguyen Nang Hung Van, Phuc Hao Do, Van Nam Hoang, Truong Duy Dinh, Tran Duc Le
https://doi.org/10.1007/978-3-032-23396-7_1
Book  Lecture Notes in Networks and Systems (2025 Real-Time Intelligent Systems) Volume 1936 (2027), p. 1
Fractional spatio-temporal modeling for enhanced MRI super-resolution from multi-frame data
Anouar Ben-Loghfyry, Abderrahim Charkaoui, Shengda Zeng
https://doi.org/10.1016/j.camwa.2026.01.037
Journal  Computers & Mathematics with Applications Volume 208 (2026), p. 147
Hybrid MICO-LAC Segmentation with Panoptic Tumor Instance Analysis for Dense Breast Mammograms
Razia Jamil, Min Dong, Orken Mamyrbayev, Ainur Akhmediyarova
https://doi.org/10.3390/jimaging12030095
Journal  Journal of Imaging Volume 12, Issue 3 (2026), p. 95
Medical image enhancement through Klein–Gordon model with advanced differential operators
A. Priya, S. Kalaivani
https://doi.org/10.1016/j.asej.2025.103617
Journal  Ain Shams Engineering Journal Volume 16, Issue 10 (2025), p. 103617


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