Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. It highlights the intricate process involved in selecting the most suitable ML algorithm for predicting specific medical conditions, emphasizing the critical role of real-world data in testing and validation. …”
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Multiscale deformable registration of noisy medical images by Dana Paquin, Doron Levy, Lei Xing

“…Multiscale image registration techniques are presented for the reg-istration of medical images using deformable registration models. The tech-niques are particularly effective for registration problems in which one or bothof the images to be registered contains significant levels of noise. …”
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Directive Antenna for Ultrawideband Medical Imaging Systems by Amin M. Abbosh

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Backpropagation Neural Network Implementation for Medical Image Compression by Kamil Dimililer

“…Medical images require compression, before transmission or storage, due to constrained bandwidth and storage capacity. …”
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Training as an updating teaching in the Medical Imaging and Radiophysics Degree by Félix González Pérez, Miriam Iglesias León

“…The development achieved in the health services demands the teachers Degree in Medical Imaging and Radiophysics' professional improvement. …”
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Mapping Iterative Medical Imaging Algorithm on Cell Accelerator by Meilian Xu, Parimala Thulasiraman

“…With the advent of heterogeneous multicore architectures that exploit data parallel applications, medical imaging algorithms such as OS-SART can be studied to produce increased performance. …”
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Multiobjective Optimization for Reconfigurable Implementation of Medical Image Registration by Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, Raj Shekhar

“…We demonstrate feasibility of this approach in the context of FPGA-based medical image registration; however, it may be adapted to a wide range of signal processing applications.…”
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Gaze Assistance for Efficient Segmentation Correction of Medical Images by Leila Khaertdinova, Tatyana Shmykova, Ilya Pershin, Andrey Laryukov, Albert Khanov, Damir Zidikhanov, Bulat Ibragimov

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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

Subjects: “…Medical Images…”
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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

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Development of the modified Safety Attitude Questionnaire for the medical imaging department by Ravi Chanthriga Eturajulu, Maw Pin Tan, Mohd Idzwan Zakaria, Karuthan Chinna, Kwan Hoong Ng

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Unveiling the Complexity of Medical Imaging through Deep Learning Approaches by Javaid Iqbal Bhat, Novsheena Rasool

“…Recent advancements in deep learning, particularly convolutional networks, have rapidly become the preferred methodology for analyzing medical images, facilitating tasks like disease segmentation, classification, and pattern quantification. …”
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On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences by Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne Trefethen, Vicente Grau

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Texture Enhancement for Medical Images Based on Fractional Differential Masks by Hamid A. Jalab, Rabha W. Ibrahim

“…Texture enhancement for medical images is the most important technique in medical image diagnosis. …”
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3D Winding Number: Theory and Application to Medical Imaging by Alessandro Becciu, Andrea Fuster, Mark Pottek, Bart van den Heuvel, Bart ter Haar Romeny, Hans van Assen

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An Intelligent Medical Imaging Approach for Various Blood Structure Classifications by Madallah Alruwaili

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Medical Image Encryption and Decryption Based on DNA: A Survey by Saja Theab Ahmed, Dalal Abdulmohsin Hammood, Raad Farhood Chisab, Nurulisma Binti Hj. Ismail

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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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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

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