Use this tag to ask question about processing/converting/creating/analyzing image instance in-memory/persistence-storage related to medical domain. This include DICOM images/pixel-data as well. Additional tag [tag:dicom] is only needed if question relates to DICOM Specifications. If question can stand without it, avoid using [tag:dicom] tag. This tag is agnostic to programming language or toolkit.
Questions tagged [medical-imaging]
250 questions
-1
votes
2 answers
What is the difference between a DICOM viewer vs a PACS system or RIS
I have installed OsiriX is my computer which is an open source DICOM viewer. I was wondering what would make this different from a PACS (Picture archiving and communication system) or RIS (Radiology Information System). How could OsiriX be…
BluePython
- 1,635
- 3
- 24
- 35
-1
votes
1 answer
ROI info in DICOM Images using Evil Dicom
Currently I am able to open, display and do some image processing on DICOM images. I can also use the mouse to draw polygons.
Can someone give me an indication on how I can make the inside of the polygon 1's and the outside 0's. What I would like to…
Adolf
- 23
- 3
-2
votes
1 answer
How can I solve the shpe and reconstract CNN for this project?
when I train this network on medical images data
-train
-benign
-normal
-cancer
-test
-benign
-normal
-cancer
-valid
-benign
-normal
-cancer
I get an error when I do training
this is data loading.
import os
import torch
from torchvision import…
Hesham
- 1
- 1
-2
votes
1 answer
index 795 is out of bounds for axis 0 with size 795
I am trying to resolve the error mentioned above, but i couldn't.
I am trying to run the following python function:
def plot_test_samples():
fileList = os.listdir('../data/test_samples')
fileList = filter(lambda x: '.png' in x,…
Dar
- 1
- 3
-3
votes
0 answers
Difference between pixel based Machine Learning and structure based Machine Learning
I am wondering what the difference between pixel based ML and structure based ML is, in the context of Medical image segmentation (of CTA images). I have read that structure based ML will make classifications of objects based on their input features…
Alex1111
- 1
-3
votes
1 answer
I need to fix this loop
plt.show()
CC = []
fig, ax = plt.subplots(4,4,figsize=(8,8))
tau = 130
for n,img in enumerate(ls2):
sel = img <= tau
img[sel] = 0
visited = img==0.0
i_1 = n % 4
j_1 = n//4
if i_1<4 and j_1<4:
img =…
fogwoodandfig
- 1
- 1
-3
votes
1 answer
How to calculate the average pixel intensity difference for two different regions within the same image in python?
I have these medical raw data images which have .rawb instead of .jpg. I need to open and read this data which is 3D. My question is after opening this file into python I have to compare the pixel intensity (av. mean) of two different regions within…
ravi
- 1
-3
votes
2 answers
Nib.load() error - Trying to load PNG and DICOM images to be resized for FCNN
Have 40 DICOM and 40 PNG images (data and their masks) for a Fully CNN that are loaded into my Google Drive and have been found by the notebook via the print(os.listdir(...)), as evidenced below in the first block of code where all the names of the…
user13349602
-6
votes
1 answer
How to convert dicom images to Jpg format in R
How to convert Dicom images with file extension .dcm to Jpg or Png in R
I am attempting the following code in R, but getting error as Error: '...' used in an incorrect context
What is wrong in my below R…
Vikram R S
- 31
- 7
-6
votes
1 answer
Converting DICOM files to JPEG files for use in Inception V3
I am trying to use the Inception V3 model on a set of medical data images. The problem is the data is in DICOM format and can't be used with the Image classifier. Can anyone please let me know how to use the DICOM files directly with the Inception…
vikadia7x
- 9
- 2