Geometric Regularized Hopfield Neural Network for Medical Image Enhancement by Fayadh Alenezi, K. C. Santosh

“…The proposed algorithm was tested on fifteen different medical images, where evaluations were made based on entropy, visual information fidelity (VIF), weighted peak signal-to-noise ratio (WPSNR), contrast, and homogeneity. …”
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Region-based lossless data hiding with high capacity for medical images by Xiao-hong DENG, Zhi-gang CHEN, Di-qing LIANG, Yi-min MAO

Subjects: “…medical image…”
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An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

“…Multilevel thresholding image segmentation is one of the widely used image segmentation methods, and it is also an important means of medical image preprocessing. Replacing the original costly exhaustive search approach, swarm intelligent optimization algorithms are recently used to determine the optimal thresholds for medical image, and medical images tend to have higher bit depth. …”
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Master's degree in diagnosis by medical imaging in consequence of the new era of bioimaging by Jose Cabrales Fuentes

“…Proposal of a master's program that aims to delve into the evolution of AI in medical imaging, where key techniques and technologies will be explored. …”
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An Adaptive Source-Channel Coding with Feedback for Progressive Transmission of Medical Images by Jen-Lung Lo, Saeid Sanei, Kianoush Nazarpour

“…A novel adaptive source-channel coding with feedback for progressive transmission of medical images is proposed here. In the source coding part, the transmission starts from the region of interest (RoI). …”
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AMIDE: A Free Software Tool for Multimodality Medical Image Analysis by Andreas Markus Loening, Sanjiv Sam Gambhir

“…Amide's a Medical Image Data Examiner (AMIDE) has been developed as a user-friendly, open-source software tool for displaying and analyzing multimodality volumetric medical images. …”
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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

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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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Multipurpose zero watermarking algorithm for medical image based on SVD and SAE by Jieli SUN, Yanxia ZHAO, Zenghui ZHOU, Sheng XING

Subjects: “…medical image…”
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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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ADGAN: Adaptive Domain Medical Image Synthesis Based on Generative Adversarial Networks by Liming Xu, Yanrong Lei, Bochuan Zheng, Jiancheng Lv, Weisheng Li

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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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Deep learning-based object detection algorithms in medical imaging: Systematic review by Carina Albuquerque, Roberto Henriques, Mauro Castelli

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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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