Monash Analysis of
Images in Medicine
A student-led team building AI that reads medical images, to help detect and classify disease.
This is a simulated tissue section. The lime outlines are the nuclei a segmentation model has found. Point at the tissue to count them.
Monash AIM is medical and computing students reading the same scans. Our models get their technical depth from CNNs, transfer learning and explainable AI in Python. They get their clinical rigour from people who know what accuracy means at the bedside. And they are cross-disciplinary from day one, because both faculties build them together.
5 projects, two faculties, run entirely by students. More about AIM
What we're teaching computers to see
Left of each dashed line is the scan. Right of it is what the model produces.
GAVE
Generalised Analysis of Vessels in Eye.
CHIMERA Agent
Combining histology, medical imaging and molecular data for prognosis and diagnosis.
TREAT-MMTB
Efficient AI technologies for multimodal management of tuberculosis.
COHORT-X
Extracting executable cohort definitions for medical imaging research.
Ischemic Stroke Detection
Detecting stroke in brain scans with machine learning.
“We are driven by the potential of AI and medicine converging to revolutionise healthcare, and a healthier future for all.”
Join AIM.
We're looking for students fluent in Python and curious about machine learning, neural networks, and the medicine they could transform. Medical and IT students work side by side.
Applications are open. Questions? Email [email protected] or read about each team.