Книга: Pedro Nogueira and Miguel Coimbra «Building an Automated Cellular Annotation Framework»
|
Производитель: "LAP Lambert Academic Publishing" Research in Leishmania and related parasites produces large amounts (up to the thousands) of microscopy images, which, in turn, require large amounts of time to classify and annotate. Not only does this detract the researchers from exploring new alternatives by robbing them of useful time, as it is also prone to inter-person variance. This lead us to the need for automatic or semi-automatic methods for image classification and annotation algorithms. In this book we guide the reader through the basic building blocks of a multi-layer computer vision / AI hybrid algorithm designed to automatically process confocal microscopy images in a consistent pipeline. In addition, a thorough validation of the algorithm is presented in a two-stage process. Firstly, by analysing each of its constituent components and secondly, by pitying it against a team of expert biomedical researchers to assess its real-world performance, as well as to reveal potential future improvements. ISBN:9783659513770 Издательство: "LAP Lambert Academic Publishing" (2014)
ISBN: 9783659513770 |
См. также в других словарях:
History of virtual learning environments 1990s — In the history of virtual learning environments, the 1990s was a time of growth, primarily due to advent of the affordable computer and of the Internet.1990s1990* Formal Systems Inc. of Princeton, NJ, USA introduces a DOS based Assessment… … Wikipedia
Ontology (information science) — In computer science and information science, an ontology formally represents knowledge as a set of concepts within a domain, and the relationships between those concepts. It can be used to reason about the entities within that domain and may be… … Wikipedia
