medical image segmentation
Despite achieving promising results in a breadth of medical image segmentation tasks, deep neural networks require large training datasets with pixel-wise annotations. Obtaining these curated datasets is a cumbersome process which limits the …
Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarkers to indicate glaucoma suspected. Clinically, it is often recommended …
Our team, DIAGNOS-ETS, achieved great performance on MICCAI2021 GAMMA contest. Here are our results on the three tasks:
Top 1 : Macular fovea localization Top 1 : Optic disc/cup segmentation Top 8 : Multi-modal glaucoma grading The total number of teams in this contest : 556 .
Most segmentation losses are arguably variants of the Cross-Entropy (CE) or Dice losses. In the abundant segmentation literature, there is no clear consensus as to which of these losses is a better choice, with varying performances for each across …