Results 91 to 100 of about 1,119,843 (233)

Singular solutions, momentum maps and computational anatomy [PDF]

open access: yesarXiv, 2006
This paper describes the variational formulation of template matching problems of computational anatomy (CA); introduces the EPDiff evolution equation in the context of an analogy between CA and fluid dynamics; discusses the singular solutions for the EPDiff equation and explains why these singular solutions exist (singular momentum map). Then it draws
arxiv  

ANATOMY AND PHYSIOLOGY OF THE TONSIL [PDF]

open access: green, 1909
Charles M. Robertson
openalex   +1 more source

Anatomy-guided Pathology Segmentation [PDF]

open access: yesarXiv
Pathological structures in medical images are typically deviations from the expected anatomy of a patient. While clinicians consider this interplay between anatomy and pathology, recent deep learning algorithms specialize in recognizing either one of the two, rarely considering the patient's body from such a joint perspective. In this paper, we develop
arxiv  

Testing the AgreementMaker System in the Anatomy Task of OAEI 2012 [PDF]

open access: yesarXiv, 2012
The AgreementMaker system was the leading system in the anatomy task of the Ontology Alignment Evaluation Initiative (OAEI) competition in 2011. While AgreementMaker did not compete in OAEI 2012, here we report on its performance in the 2012 anatomy task, using the same configurations of AgreementMaker submitted to OAEI 2011. Additionally, we also test
arxiv  

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition [PDF]

open access: yesarXiv, 2019
Although chest X-ray (CXR) offers a 2D projection with overlapped anatomies, it is widely used for clinical diagnosis. There is clinical evidence supporting that decomposing an X-ray image into different components (e.g., bone, lung and soft tissue) improves diagnostic value.
arxiv  

Breast Anatomy Enriched Tumor Saliency Estimation [PDF]

open access: yesarXiv, 2019
Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due to the complicated breast structure and poor quality of the images.
arxiv  

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