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Website for the Imperial First Year Topics Project.

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CSS 58.27% JavaScript 24.93% HTML 13.56% Python 3.25%
diagnosis medical-imaging mri radiology website

topics-ai-radiology's Introduction

topics-ai-radiology's People

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topics-ai-radiology's Issues

CNNs Grammar

Using CNN's for multiple object classification

  • but a lot of medical image analysis...
  • image classification , however, in 2014 a paper...
    RCNN
  • solved both of the problems above (removed two)
  • CNN of the image Matthew to go through with us
    Impact on Medical Image analysis
  • Variability in location, size, shape,and frequency make it difficult to devise effective segmentation rules.
  • from each class, however__,__ this can bias the classifier
  • To counter this__,__ two stage training has been introduced

<Math> tags in HTML

Hey Guys, I'm not 100% sure where to put the math tags in my PNNs page, could someone give me a hand?

IMAGE SCALING

anyone please fix if they can, worst case scenario: create whitespace around entire image to make fit

Links in Footnotes

If we give a link in the footnotes can we make sure to use a hreference in an a tag to allow the site user quick access to the site linked to.

Preprocessing Grammar

  • This either improves or extends the data to prepare for analysis.
  • number of experimental errors.
  • a filter , in this case a 3D Gaussian kernel [3], to the i
  • This makes the large scale changes more apparent
  • algorithm (S3)[1] based on brain anatomy and image intensity characteristics is shown.
  • input image**, averaging**

decision that we need to get together and go through changes to be made as it is easier than creating a huge issue

Overview Grammar errors

Here are some minor grammar changes I'd recommend in the overview page

A Radiologist's view of Brain Tumors:
Brain tumours are an uncontrolled, unnatural growth__,__ and division of brain tissue. They are thankfully not very common, but they are one of the most lethal cancers. Currently__,__ the time ...

Primary & Metastatic
... metastatically. (not meatastically)

Gliomas
... originate from glial cells (hence they are called Gliomas)

High Grade
... plans to improve the quality of and £the length of a patient's life. Automatic segmentation methods which are fast

The use of Magnetic Resonance Imaging (MRI) scans
...There is a need for accurate and fully automated methods__.__ Manual segmentation around tumour margins... 3-5 mins [5]£__. Automated__ segmentation ...

Slices
...slices of the brain and reconstruct a 3-dimensional ... intensity values and are typically represented by a grey value between 0 and 255.

Pulse Sequences
...BraTS dataset incoporates the use of T1, post-contrast T1-weighted (T1Gd), T2-weighted (T2), and T2 Fluid Attenuated Inversion Recovery (FLAIR) which are unique radio frequency pulse sequences. These exploit the distinct chemical and physiological characteristics of various tissue types to increase contrast. These are necessary to determine volume and growth-rate of tumors and hence determine their grade.

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