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Grayscale medical image segmentation method based …

    https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-022-00760-2
    Grayscale medical image segmentation is the key step in clinical computer-aided diagnosis. Model-driven and data-driven image segmentation methods are widely …

Pre-training on Grayscale ImageNet Improves Medical Image …

    https://openaccess.thecvf.com/content_ECCVW_2018/papers/11134/Xie_Pre-training_on_Grayscale_ImageNet_Improves_Medical_Image_Classification_ECCVW_2018_paper.pdf
    natural images, and fine-tune it on medical images, the medical images need to be pre-processed to conform with the shape and structure of the original color images used to …

Grey scale imaging (ultrasound) | Radiology Reference …

    https://radiopaedia.org/articles/grey-scale-imaging-ultrasound
    Citation, DOI & article data. Commonly referred to as B (brightness) mode, the use of grey scale imaging in ultrasound renders a two-dimensional image in which …

Pre-training on Grayscale ImageNet Improves Medical …

    https://link.springer.com/chapter/10.1007/978-3-030-11024-6_37
    Since medical images often contain only a single channel, this usually involves stacking each grayscale image to a 3-channel pseudo-color image to mimic the …

Comparison of grayscale and color-scale renderings of …

    https://pubmed.ncbi.nlm.nih.gov/28349435/
    Medical images are increasingly being rendered as digital images that are displayed on a monitor to provide diagnoses. However, these images are often rendered in grayscale. …

Grayscale medical image segmentation method based …

    https://pubmed.ncbi.nlm.nih.gov/35220942/
    Background: Grayscale medical image segmentation is the key step in clinical computer-aided diagnosis. Model-driven and data-driven image segmentation …

Grayscale medical image segmentation method …

    https://www.researchgate.net/journal/BMC-Medical-Imaging-1471-2342/publication/358896314_Grayscale_medical_image_segmentation_method_based_on_2D3D_object_detection_with_deep_learning/links/621c35206051a16582fe9b9a/Grayscale-medical-image-segmentation-method-based-on-2D-3D-object-detection-with-deep-learning.pdf
    Results: Three groups of grayscale medical images are used to evaluate the proposed image segmentation method. We obtain the IoU (DSC) scores of 0.92 (0.96), 0.88 (0.94) …

Grayscale medical image segmentation method based …

    https://www.semanticscholar.org/paper/Grayscale-medical-image-segmentation-method-based-Ge-Zhang/8e37fb59c84b6df34974f54a7eebda29216271ee
    The prominent segmentation results demonstrate that the built method based on 2D&3D object detection with deep learning is workable and promising for …

Why to use Grayscale Conversion during Image Processing?

    https://www.isahit.com/blog/why-to-use-grayscale-conversion-during-image-processing
    Grayscale conversion has been used in medical practice for computer aided diagnosis. It is very crucial as the images from ultrasound X-Ray and computer tomography (CT) scans …

Grayscale medical image segmentation method based …

    https://www.researchgate.net/publication/358896314_Grayscale_medical_image_segmentation_method_based_on_2D3D_object_detection_with_deep_learning
    After projecting to 2D images, these target points could composite the segmented object. Results Three groups of grayscale medical images are used to …



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