Our recent publications. Please read at this link:
#breastcancermri#deeplearning#swarmlearning
1. deep learning for breast cancer diagnosis
https://t.co/iD6g3xfWag
2. using swarm learning for breast cancer diagnosis
https://t.co/u9xsLGgGHF
Our new open access paper has just been published!!
Drug addiction in Malaysia: a mini review on drug types, rehabilitation centres and therapeutic programs.
This paper is an initial step for conducting an experimental study in fmri of brain.
Check out https://t.co/WlH7TZLpso
Everyone should learn how to build AI applications.
Last week I recorded a 1-hour video to show you how to start from the very beginning. If you know a bit of Python, this video is for you.
I use Langchain and the OpenAI API.
Video link: https://t.co/14SNof0JLX
Exploring the challenges of image processing in breast MRI. Striving for advancements in early detection and treatment. #BreastCancerAwareness#MRIInnovation
"Today's focus: The importance of high-quality data in training AI algorithms for medical imaging. Ensuring accuracy and reliability is key." #AIinHealthcare#DataQuality
Establishing a medical image database is not an easy task. Reformatting and pseudonymisation take many days to complete depending on the size of your dataset.
🎊🎉 JMIRS' success is a reflection of our team of international peer reviewers who critically evaluate manuscript submissions - thank you all! We'd tons of fun announcing the winners of our various Editor's Choice 2021 Awards🏆 last week! Kudos all! https://t.co/9lu74lVtVu