Results 21 to 30 of about 13,515,348 (328)
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer [PDF]
AAAI Conference on Artificial Intelligence, 2023 The Diffusion Probabilistic Model (DPM) has recently gained popularity in the field of computer vision, thanks to its image generation applications, such as Imagen, Latent Diffusion Models, and Stable Diffusion, which have demonstrated impressive ...
Junde Wu +4 more
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IEEE Access, 2020 In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue +9 more
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Federated Learning for Medical Image Analysis: A Survey [PDF]
Pattern Recognition, 2023 Machine learning in medical imaging often faces a fundamental dilemma, namely, the small sample size problem. Many recent studies suggest using multi-domain data pooled from different acquisition sites/centers to improve statistical power.
Hao Guan, Mingxia Liu
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Medical emergencies in medical imaging [PDF]
BMJ Quality & Safety, 2012 Sending inpatients to the medical imaging department is sometimes tantamount to discharging them from hospital for hours at a time. Consider, for example, a patient with an unexplained acute abdomen where an urgent CT scan is indicated. Patient transport, logistical delays and the procedure itself may lead to gaps in monitoring vital signs, providing ...
John A, Staples, Donald A, Redelmeier
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Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification
International Islamic University Malaysia Engineering Journal, 2023 Sensitive data including medical images and electronic patient records (EPR) have potential value in the era of big data and telemedicine applications.
Ledya Novamizanti +3 more
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Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review [PDF]
Medical Image Anal., 2023 The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision.
Reza Azad +8 more
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On the Challenges and Perspectives of Foundation Models for Medical Image Analysis [PDF]
Medical Image Anal., 2023 This article discusses the opportunities, applications and future directions of large-scale pretrained models, i.e., foundation models, which promise to significantly improve the analysis of medical images.
Shaoting Zhang, Dimitris N. Metaxas
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Journal of Nanobiotechnology, 2022 Background Combining the multimodal imaging and synergistic treatment in one platform can enhance the therapeutic efficacy and diagnosis accuracy. Results In this contribution, innovative Mn-doped Prussian blue nanoparticles (MnPB NPs) were prepared via ...
Quan Tao +6 more
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Postgraduate Medical Journal, 1991 Summary and conclusionsThere is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest
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IEEE Access, 2019 In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li +7 more
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