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To facilitate the collection of quantitative data, the development of machine vision systems is necessary.
Despite the ever-increasing amount and complexity of annotated medical image data, the development of large-scale medical image analysis algorithms has not kept pace with the need for methods that bridge the semantic gap between images and diagnoses.
Based on clinical data, the development of efficient methods capable of inducing strong T-cell responses is an important and primary step toward the development of immunotherapeutics against chronic HBV infection.
The success of digital soil mapping is a confluence of several factors in the beginning of 2000 including the increased availability of spatial data (digital elevation model, satellite imagery), the availability of computing power for processing data, the development of data-mining tools and GIS, and numerous applications beyond geostatistics.
More research and data, the development of model schemes and benchmarks, identifying good practices, and setting up international exchange and training opportunities would be valuable first steps.
According to the data, the development of a procedure which restores the medial stability of the patellofemoral joint has become necessary.
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In an age when big data rules, the development of data sets relating to university applications is not something that presents an insuperable challenge.
This study provides further insight into the use of legacy soil data and the development of training data for digital soil mapping.
To facilitate the organisation of the data and the development of a coding framework the anonymised data was imported into a qualitative data software program (NVivo V. 10).
Interchange, storage, and management of geological data require the development of knowledge-based, standardized vocabularies and data structures.
This incremental nature of data motivates the development of new systems to perform large-scale data computations incrementally.
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