Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…Abstract Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. …”
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Partial Attention in Global Context and Local Interaction for Addressing Noisy Labels and Weighted Redundancies on Medical Images by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

“…Recently, the application of deep neural networks to detect anomalies on medical images has been facing the appearance of noisy labels, including overlapping objects and similar classes. …”
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Secure medical image transmission for healthcare applications using cooperative relaying based on physical layer security by Ali Kuhestani, Mohammad Ali Sebtonabi, Roozbeh Rajabi, Mohammadreza Keshavarzi

“…Considering that in medical images, most of the experts' emphasis is on the part of the image that shows the disease, in this article, the image is first divided into two parts namely, main and background parts, and then the transmitter estimats regarding the capacity of legal and non-legal channels. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts’ analysis, which can be achieved by content-based medical image retrieval (CBMIR). …”
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Exploring BiomedCLIP’s Capabilities in Medical Image Analysis: A Focus on Scoliosis Detection and Severity Assessment by Bartosz Polis, Agnieszka Zawadzka-Fabijan, Robert Fabijan, Róża Kosińska, Emilia Nowosławska, Artur Fabijan

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EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

Subjects: “…Medical imaging…”
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A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing by Animesh Roy, Deva Raj Mahanta, Lipi B. Mahanta

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An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy by Chunyun Xu, Yubao Shang, Yongwei Yang, Chengye Zou

Subjects: “…Medical image…”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

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Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks by R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, K. Suresh Manic, Chuan-Yu Chang

“…Biomedical research and medical image analysis highly demand medical image fusion to perform higher level of medical analysis. …”
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Beyond high hopes: A scoping review of the 2019-2021 scientific discourse on machine learning in medical imaging. by Vasileios Nittas, Paola Daniore, Constantin Landers, Felix Gille, Julia Amann, Shannon Hubbs, Milo Alan Puhan, Effy Vayena, Alessandro Blasimme

“…We conducted a scoping review on machine learning in medical imaging, providing a comprehensive outlook of the field's potential, limitations, and future directions. …”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

“…The fields of telemedicine and aided medical diagnostics are benefiting greatly from medical imaging. For healthcare professionals to view patient medical images, a secure online transmitting technique is essential. …”
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Retracted: Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks by Behavioural Neurology

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Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer by Wei Wei, Menghang Ma, Zhenyu Liu

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Editorial: Nuclear medicine advances through artificial intelligence and intelligent informatics by Lisa M. Duff, Kuangyu Shi, Charalampos Tsoumpas

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A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis by József Z. Farkas, Gary T. Smith, Glenn F. Webb

Subjects: “…medical imaging…”
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A survey on deep learning for polyp segmentation: techniques, challenges and future trends by Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu

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FUZZY GROUPOIDS VERSUS LEFT INVARIANT FUZZY EQUIVALENCE RELATIONS by Mădălina Roxana BUNECI

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Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms by Noémie N. Moreau, Noémie N. Moreau, Samuel Valable, Cyril Jaudet, Loïse Dessoude, Leleu Thomas, Romain Hérault, Romain Modzelewski, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer-Dulmont, Aurélien Corroyer-Dulmont

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Imaging performance of a CaWO4/CMOS sensor by Niki Martini, Vaia Koukou, George Fountos, Ioannis Valais, Ioannis Kandarakis, Christos Michail, Athanasios Bakas, Eleftherios Lavdas, Konstantinos Ninos, Georgia Oikonomou, Lida Gogou, George Panayiotakis

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