jcreinhold

jcreinhold

---
title: "On the distribution of p-values"
output: html_notebook
---

```{r}
sample.sizes <- seq(5, 100, 10)
num.trials <- 1000
num.experiments <- 1
null.mu <- 0.0

jcreinhold

let swap arr i j =
  let tmp = arr.(j) in
  arr.(j) <- arr.(i);
  arr.(i) <- tmp

let partition arr l h =
  let pivot = arr.(h) in
  let i = ref @@ (l - 1) in
  for j = l to h - 1 do
    if arr.(j) <= pivot then begin

jcreinhold

let swap arr i j =
  let tmp = arr.(j) in
  arr.(j) <- arr.(i);
  arr.(i) <- tmp

let partition arr l h =
  let pivot = arr.(h) in
  let i = ref @@ (l - 1) in
  for j = l to h - 1 do
    if arr.(j) <= pivot then begin

jcreinhold

# pymedio is used here because it opens a wide variety of
# medical image formats but you can use 'nibabel', 'pydicom',
# or 'SimpleITK' and extract the pixel data as an array and
# use the same functions to test equality
from pymedio.image import Image

# 'query_image' and 'target_image' can be most common medical
# image formats, e.g., NIfTI, directory of DICOM frames, etc.
query = Image.from_path("path/to/query_image")
target = Image.from_path("path/to/target_image")

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Normalize the intensity of a CT image
Author: Jacob Reinhold
"""

import sys
from argparse import ArgumentParser
from pathlib import Path
from typing import Tuple, Union

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Normalize the intensity of an image by 
finding a tissue mean in the foreground and 
voxel-wise dividing the image by that value
Author: Jacob Reinhold
"""

import sys
from argparse import ArgumentParser

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Normalize the intensity of a set of images by 
finding a tissue mean in the foreground and 
voxel-wise dividing the image by that value
Author: Jacob Reinhold
"""

import os
import re

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Normalize the intensity of a set of images by 
finding a specified peak of each image foreground intensity
and voxel-wise dividing the image by that value
Author: Jacob Reinhold
"""

import os
import re

jcreinhold

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Normalize the intensity of a set of images by 
finding the specified percentile of each image
foreground and voxel-wise dividing the image by that value
Author: Jacob Reinhold
"""

import os
import re