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The advantages of maintaining the integrity are referral, knowledge in image interpretation and image-guided interventions, broad clinical perspective, technology mastery, standardised workflow, quality and safety issues, 24/7 services and clustering of equipment.
However, we argue that our choices are representative of average users with basic training and knowledge in image processing.
Although one must have a minimal knowledge in image processing to define a processing chain, no programming skills are required: for each step, users choose specific plug-ins and adjust their parameters (Supplementary Fig. S2).
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Hence, the level of education and the oncologist's knowledge in interpretation of images from different image modalities is of utmost importance.
They would also like to express their gratitude to the contributors, for making this issue a hopefully important source of information within the existing body of knowledge in the field of image and video processing for cultural heritage.
Seeded region growing (SRG) algorithm is very attractive for semantic image segmentation by involving high-level knowledge of image components in the seed selection procedure.
We anticipate the emergence of Google-like environments that will allow storage and interpretation of collective knowledge and image interpretation in the context of data and historical knowledge.
This study shows that a 1-day workshop with two 1-h sessions within the next 6-month results in sustained knowledge of image acquisition theory and image interpretation as well as improved attitudes towards the use of bedside ultrasound.
Ficino saw his influence in the classic Socratic manner, as midwifery of knowledge, an image made famous in Plato's Theaetetus.
However, effective and precise image retrieval still remains a problem because of the extreme difficulty in image understanding, and high-level knowledge required.
Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain.
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