How Long to Read Automatic Localization of Spatially Correlated Key Points in Medical Images

How Long Does it Take to Read Automatic Localization of Spatially Correlated Key Points in Medical Images?

It takes the average reader 4 hours and 14 minutes to read Automatic Localization of Spatially Correlated Key Points in Medical Images by Alexander Oliver Mader

Assuming a reading speed of 250 words per minute. Learn more

Description

The task of object localization in medical images is a corner stone of automatic image processing and a prerequisite for other medical imaging tasks. In this thesis, we present a general framework for the automatic detection and localization of spatially correlated key points in medical images based on a conditional random field (CRF). The problem of selecting suitable potential functions (knowledge sources) and defining a reasonable graph topology w.r.t. the dataset is automated by our proposed data-driven CRF optimization. We show how our fairly simple setup can be applied to different medical datasets involving different image dimensionalities (i.e., 2D and 3D), image modalities (i.e., X-ray, CT, MRI) and target objects ranging from 2 to 102 distinct key points by automatically adapting the CRF to the dataset. While the used general "default" configuration represents an easy to transfer setup, it already outperforms other state-of-the-art methods on three out of four datasets. By slightly gearing the proposed approach to the fourth dataset, we further illustrate that the approach is capable of reaching state-of-the-art performance of highly sophisticated and data-specific deep-learning-based approaches. Additionally, we suggest and evaluate solutions for common problems of graph-based approaches such as the reduced search space and thus the potential exclusion of the correct solution, better handling of spatial outliers using latent variables and the incorporation of invariant higher order potential functions. Each extension is evaluated in detail and the whole method is additionally compared to a rivaling convolutional-neural-network-based approach on a hard problem (i.e., the localization of many locally similar repetitive target key points) in terms of exploiting the spatial correlation. Finally, we illustrate how follow-up tasks, segmentation in this case, may benefit from a correct localization by reaching state-of-the-art performance using off-the-shelve methods in combination with our proposed method.

How long is Automatic Localization of Spatially Correlated Key Points in Medical Images?

Automatic Localization of Spatially Correlated Key Points in Medical Images by Alexander Oliver Mader is 252 pages long, and a total of 63,504 words.

This makes it 85% the length of the average book. It also has 78% more words than the average book.

How Long Does it Take to Read Automatic Localization of Spatially Correlated Key Points in Medical Images Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 47 minutes to read Automatic Localization of Spatially Correlated Key Points in Medical Images aloud.

What Reading Level is Automatic Localization of Spatially Correlated Key Points in Medical Images?

Automatic Localization of Spatially Correlated Key Points in Medical Images is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

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