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Found 6 papers, 3 papers with code
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine
GPT-4V also performs well in cases where physicians incorrectly answer, with over 78% accuracy.
A generalized framework to predict continuous scores from medical ordinal labels
These labels are used to train and evaluate disease severity prediction models.
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations
To determine whether RVM differences between Black and White eyes were physiological, CNNs were trained to predict race from color RFIs, raw RVMs, and thresholded, binarized, or skeletonized RVMs.
Accelerated Experimental Design for Pairwise Comparisons
Pairwise comparison labels are more informative and less variable than class labels, but generating them poses a challenge: their number grows quadratically in the dataset size.
Deep feature transfer between localization and segmentation tasks
In this paper, we propose a new pre-training scheme for U-net based image segmentation.
High-resolution medical image synthesis using progressively grown generative adversarial networks
Additional convolutional layers are then iteratively introduced to produce images at twice the previous resolution until the desired resolution is reached.
