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Interpretation of Disease Evidence for Medical Images

    https://link.springer.com/chapter/10.1007/978-3-030-59713-9_71
    We propose a novel method for formulating and presenting spatial explanations of disease evidence, called deformation field interpretation with generative …

Generative Interpretation of Medical Images - Semantic …

    https://www.semanticscholar.org/paper/Generative-Interpretation-of-Medical-Images-Stegmann-Ersb%C3%B8ll/cce6e011364820377ccc5878eb90604a9ba88bb7
    This thesis describes, proposes and evaluates methods for automated analysis and quantification of medical images, based on the class of Active Appearance Models, which …

(PDF) Medical Image Generation Using …

    https://www.researchgate.net/publication/348905764_Medical_Image_Generation_Using_Generative_Adversarial_Networks_A_Review
    The various framework of GANs which gained popularity in the interpretation of medical images, such as deep convolutional GAN (DCGAN), Laplacian GAN …

This Explains That: Congruent Image–Report Generation …

    https://link.springer.com/chapter/10.1007/978-3-030-87444-5_4
    Different from prior methods that focus on medical report generation from images or vice-versa, we novelly generate congruent image–report pairs employing a …

A Tour of Unsupervised Deep Learning for Medical …

    https://pubmed.ncbi.nlm.nih.gov/33504314/
    Conclusion: Currently, interpretation of medical images for diagnostic purposes is usually performed by human experts that may be replaced by computer-aided diagnosis due to …

Medical Image Generation using Generative Adversarial …

    https://arxiv.org/abs/2005.10687
    Generative adversarial networks (GANs) are unsupervised Deep Learning approach in the computer vision community which has gained significant attention from …

Medical image processing with contextual style transfer

    https://hcis-journal.springeropen.com/articles/10.1186/s13673-020-00251-9
    Following traditional generative idea, we proposed a style-transfer model for medical images. To prevent possible context loss, we design a context-aware loss [ 18] …

Generative Interpretation of Medical Images

    http://www2.imm.dtu.dk/pubdb/pubs/3126-full.html
    This thesis describes, proposes and evaluates methods for automated analysis and quantification of medical images. A common theme is the usage of generative methods, …

Medical Image Generation using Generative Adversarial …

    https://www.researchgate.net/publication/341565298_Medical_Image_Generation_using_Generative_Adversarial_Networks
    The adversarial network simultaneously generates realistic medical images and corresponding annotations, which proven to be useful in many cases such as image …

A Novel Medical Image Denoising Method Based on …

    https://pubmed.ncbi.nlm.nih.gov/34621329/
    Medical image quality is highly relative to clinical diagnosis and treatment, leading to a popular research topic of medical image denoising. Image denoising based …



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