Medical Image Matching

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Medical Image Analysis - MDPI

https://www.mdpi.com/topics/Medical_Image_Analysis

Papers are welcomed on issues that are related to image processing techniques for biomedical applications, including: medical image reconstruction; medical image retrieval; medical image segmentation; deep or handcrafted features for …

A Medical Image Registration Method Based on …

https://www.hindawi.com/journals/cmmm/2021/4504306/

Medical image matching-a review with classification

https://ieeexplore.ieee.org/document/195938/

A classification scheme for multimodal image matching is considered. The scope of the classification is restricted to methods that register data after acquisitions. The …

Introduction to Medical Image Processing - 國立臺灣 …

https://www.csie.ntu.edu.tw/~b95041/biomedical/12_21_MIP2010.pdf

Introduction to Medical Image Processing Δ Essential environments of a medical imaging system Image processing may be a post-imaging or pre-analysis operator. Functions …

3D Reconstruction Method based on Medical Image …

https://www.hindawi.com/journals/cmmm/2022/9052751/

The nature of medical image matching is searching for the corresponding features between two images under the same scene. The medical …

Content-based medical image retrieval by spatial …

https://www.sciencedirect.com/science/article/pii/S131915781830750X

Medical image retrieval systems are to be evaluated using rank-based measures, as doctors would probably be interested in analysing only the top results of …

MEDIA | Medical Image Analysis | Journal - ScienceDirect

https://www.sciencedirect.com/journal/medical-image-analysis

Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts …

Application of Fuzzy Image Concept to Medical Images …

https://link.springer.com/chapter/10.1007/978-3-319-91211-0_3

In 2006 the fuzzy image concept based on the entropy measure of fuzziness, after extension to two dimensions and combined with the use of …

Distribution Matching Losses Can Hallucinate Features …

https://link.springer.com/chapter/10.1007/978-3-030-00928-1_60

For the CycleGAN we use an unpaired training scenario which keeps the distribution fixed in the source domain (with 50% healthy and 50% tumor samples) and …

Generalization of intensity distribution of medical images …

https://hcis-journal.springeropen.com/articles/10.1186/s13673-020-00220-2

Unlike the domain of real-world images, medical images are grayscale, and features of lesions in the images can be very detailed and complex. Unfortunately, …

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