2D to 3D Medical Image Colorization

Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma
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引用次数: 3

Abstract

Colorization involves the synthesis of colors while preserving structural content as well as the semantics of the target image. This problem has been well studied for 2D photographs with many state-of-the-art solutions. We explore a new challenge in the field of colorization where we aim at colorizing multi-modal 3D medical data using 2D style exemplars. To the best of our knowledge, this work is the first of its kind and poses challenges related to the modality (medical MRI) and dimensionality (3D volumetric images) of the data. Our approach to colorization is motivated by modality conversion that highlights its robustness in handling multi-modal data.
2D到3D医学图像着色
着色涉及颜色的合成,同时保留结构内容以及目标图像的语义。这个问题已经用许多最先进的解决方案对2D照片进行了很好的研究。我们在着色领域探索了一个新的挑战,我们的目标是使用2D风格的范例对多模态3D医疗数据进行着色。据我们所知,这项工作是同类工作中的第一个,并提出了与数据的模态(医学MRI)和维度(3D体积图像)相关的挑战。我们的着色方法是由模态转换驱动的,这突出了它在处理多模态数据时的鲁棒性。
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