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A survey on deep learning in medical image analysis

    https://www.sciencedirect.com/science/article/pii/S1361841517301135
    This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which …

[2201.09873] Transformers in Medical Imaging: A Survey …

    https://arxiv.org/abs/2201.09873
    Specifically, we survey the use of Transformers in medical image segmentation, detection, classification, reconstruction, synthesis, registration, clinical …

Survey of Supervised Learning for Medical Image …

    https://link.springer.com/article/10.1007/s42979-022-01166-1
    Tajbakhsh et al. investigated the performance of a fine-tuned AlexNet against a CNN trained from scratch by developing four models for various medical image …

A Survey of Medical Image Analysis Using Deep …

    https://ieeexplore.ieee.org/document/9418385
    A Survey of Medical Image Analysis Using Deep Learning Approaches. Abstract: With the expanding development of Deep Learning techniques Medical Image …

Convolutional neural networks in medical image …

    https://link.springer.com/article/10.1007/s12065-020-00540-3
    Survey of deep learning techniques for medical image segmentation, their achievements and challenges involved in medical image segmentation has been …

Segmentation technique for medical image processing: A …

    https://ieeexplore.ieee.org/document/8365301
    Segmentation technique for medical image processing: A survey. Abstract: Segmentation is one of the popular and efficient technique in context to medical …

A Survey of Medical Image Processing Tools - CORE

    https://core.ac.uk/download/pdf/159185166.pdf
    In this research, a survey paper has been completed with reviewing of 15 tools In conclusion, this paper surveys on the existing tools of medical image processing and …

(PDF) A Survey of Medical Image Processing Tools

    https://www.researchgate.net/publication/282610419_A_Survey_of_Medical_Image_Processing_Tools
    This paper describes medical image processing software tool which attempts to secure the same kind of programmability advantage for exploring applications of the pipelined processors. These...

A survey on deep learning in medical image analysis

    https://www.sciencedirect.com/science/article/abs/pii/S1361841517301135
    This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which …

Medical Image Segmentation Using Deep Learning: A …

    https://arxiv.org/abs/2009.13120
    In this paper, we present a comprehensive thematic survey on medical image segmentation using deep learning techniques. This paper makes two original …



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