Josh's paper -
Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation.
This study identifies UM metastatic risk specific ECM proteins by developing methodology for decellularisation of low- and high- metastatic risk tissue samples (LR-D3 vs. HR-M3).
Max's paper -
"Differentiating Choroidal Melanomas and Nevi using a self-supervised deep learning model applied to clinical fundoscopy images."
Purpose of the research is to test the validity of a self-supervised deep learning model, RETFound1, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation.
Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation.
This study identifies UM metastatic risk specific ECM proteins by developing methodology for decellularisation of low- and high- metastatic risk tissue samples (LR-D3 vs. HR-M3).
Max's paper -
"Differentiating Choroidal Melanomas and Nevi using a self-supervised deep learning model applied to clinical fundoscopy images."
Purpose of the research is to test the validity of a self-supervised deep learning model, RETFound1, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation.
