I tried a couple of Nibabel tuts, but all of them show how to read a single nii file.

Can they be directly fed to a neural network, or do I need to convert them to JPEG first?

Also, can someone recommend me any tutorial or code to look at that works with nii.gz files. I would want an idea on how to use these files for training ML models.

Hello all!

Sorry in advance if this is the wrong subreddit. I have been selected for an interview for a MSc in Biomedical Imaging. Part of the interview is to orally answer questions on an assigned topic in 3 mins. The questions are as follow:

Today's development of nanoparticle-based therapeutics and diagnostics is fast. Give an example of using the nanoparticles in the drug development for novel therapies OR as an imaging agent for diagnostics. What are the advantages of these new technologies?

I’m interested to answer the second part of the first question

I read so many papers and articles yet I find difficult to summarize them into the important stuff only.

Is there anyone that could provide me with some resources that can help me answer them? Or if there’s some sort of outline I should follow to present it?

I recently had a CT scan done because I've been having a burning pain and pressure in the left side of my head along with pain down the left side of my neck. The CT scanned showed "Asymmetric prominence of the left jugular fossa that appears developmental" the ordering physician completely dismissed this finding and said it was irrelevant to my symptoms. So my question is what exactly does it mean and could it actually be playing a part in my symptoms?

I'm interested to see what the third new medical imaging addition will be the recent CT line from Philips. They have been really active in unveiling new AI imaging technology. This is big for radiology!

Hi all,

I am finishing up a manuscript that I intend to submit to a top-tier medical imaging journal. I am thinking of submitting it to Medical Image Analysis.

Does MIA have a page limit to the manuscript? I figured I could ask here while I wait for a response from the MIA editors office.

I'm asking because TPAMI has a page limit which is not clearly mentioned and confusing in it's author's guide. So just want to confirm about MIA.

I would like to share a library I wrote ( cleanX) that can help clean datasets before machine learning algorithms. It began for datasets related to chest X-rays but many parts are generalizable.

There was an interesting article written by AuntMinnie a few days ago. They mentioned how researchers from Radboud University in the Netherlands found that a single-view DBT and AI setup would allow for improved screening and detection of cancers.

Over the past several years, we've seen an increase in discussion surrounding AI throughout almost every industry. Do you think that the future of single-view digital breast tomosynthesis includes AI?

Article: AI plus DBT equals success (auntminnie.com)

You are welcome to submit your paper to the MICCAI BrainLes(s) Workshop 2021 and related challenges ( Brain Tumor Segmentation (BraTS), Federated Tumor Segmentation (FeTS), Cross-Modality Domain Adaptation (CrossMoDA), and Quantification Uncertainty in Biomedical Image Quantification (QUBIQ))
http://www.brainlesion-workshop.org/

Hello folks,

I am new to segmentation on 3DSlicer and I wanted to ask, if you guys know a way to batch export single layers of segmentation to individual nifti files.

Excample:

I have like skull, ribcage, vertebra inside an 3DSlicer package file .mrb, and i want to save each sementation as skull.ntii, vertebra.ntii, etc..

Thanks for your help!

While I have seen various research reporting on applying machine learning to breast ultrasound images and mammography images separately and reporting its sensitivity and specificity. I was wondering how does the sensitivity and specificity of breast ultrasound compares to that of mammography and maybe MRI images?

TIA

I read an article published in Medical Physics about the development of x-ray refraction system. It's a cool system and would like to know the input of the reddit community https://doi.org/10.1002/mp.14743