A systematic review of lightweight transformer models for medical image segmentation by Mangkunegara Iis Setiawan, Setyawati Martyarini Budi, Purwono, Aboobaider Burhanuddin bin Mohd

“…Accuracy and efficiency in medical image processing and analysis are becoming more and more crucial as the amount of medical data increases. …”
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A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications

“…The new deformable model is very useful for a variety of medical imaging applications including boundary reconstruction, surface visualization, data segmentation, and topology discovery. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…We suggest a novel approach that uses a voting mechanism and dynamic SelectOut inside the FL framework to address these problems. Local medical imaging datasets frequently show diversity in distribution and data imbalances. …”
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Active Contour Model Coupling with Higher Order Diffusion for Medical Image Segmentation by Guodong Wang, Jie Xu, Qian Dong, Zhenkuan Pan

“…The performance of our method is demonstrated through numerical experiments of some medical image segmentations with intensity inhomogeneities.…”
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Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

Subjects: “…Medical image segmentation…”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

Subjects: “…medical image…”
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The need for evidence-based, outcome-focused medical imaging research for cancer management by Jiazheng Wang, Richard L. Hesketh, John C. Gore, Kevin M. Brindle

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

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Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images by Conghuan Ye, Shenglong Tan, Jun Wang, Li Shi, Qiankun Zuo, Bing Xiong

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Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

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Medical image segmentation based on frequency domain decomposition SVD linear attention by Liu Qiong, Li Chaofan, Teng Jinnan, Chen Liping, Song Jianxiang

“…Additionally, the high resolution of medical images leads to computational complexity in the self-attention mechanism of ViTs. …”
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Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system by M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai

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The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

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Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models by Jianhua Xuan, Yue Wang, Matthew T. Freedman, Tulay Adali, Peter Shields

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Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation by Shadi AlZubi, Naveed Islam, Maysam Abbod

“…The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI. …”
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Enhancing unsupervised learning in medical image registration through scale-aware context aggregation by Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang

Subjects: “…Medical imaging…”
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Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform by Dekai Li, Yen‐wei Chen, Jingbing Li, Lei Cao, Uzair Aslam Bhatti, Pengju Zhang

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Wide FOV metalens for near-infrared capsule endoscopy: advancing compact medical imaging by Moghaddasi Mojtaba, Perez Coca Erik Edilson, Ye Danni, Flores Diego Alejandro, Wu Xudong, Jalal Abdul, Ren Ziming, Abrinaei Fahimeh, Hu Bin

“…This advancement represents a significant step toward enhancing diagnostic capabilities in medical imaging, offering improved performance in a more compact package compared to conventional optics.…”
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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

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Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

“…Image quality plays a critical role in medical image analysis, significantly impacting diagnostic outcomes. …”
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