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Found 3 papers, 1 papers with code
Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
Results: The model uses an image as input and produces a 2-dimensional black and white output of prediction of the same dimension; the areas determined to be basal cell carcinoma were displayed with white color, in a black background.
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
The current clinical protocol to diagnose ICH is examining Computerized Tomography (CT) scans by radiologists to detect ICH and localize its regions.
Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina
We report, to our knowledge, the first end-to-end application of Generative Adversarial Networks (GANs) towards the synthesis of Optical Coherence Tomography (OCT) images of the retina.
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