Abstract
Segmentation of anatomical structures from chest x ray has an increasing importance in the past four decades and researchers have proposed various techniques and evaluated them using different datasets. In order to evaluate and compare a proposed technique, it is necessary to have knowledge about public datasets available. In this survey, properties and characteristics of different public chest x ray datasets available for segmentation of anatomical structures are studied. Different approaches for segmentation of anatomical structures (lung, heart, clavicles) are summarized. Segmentation techniques for each anatomical structure for a given dataset are compared and analyzed. The paper outlines the issues where further research can be focused.
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Jangam, E., Rao, A.C.S. (2019). Public Datasets and Techniques for Segmentation of Anatomical Structures from Chest X-Rays: Comparitive Study, Current Trends and Future Directions. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore. https://doi.org/10.1007/978-981-13-9184-2_29
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DOI: https://doi.org/10.1007/978-981-13-9184-2_29
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