1 citations · 1 across the 3 of their papers we have counts for
3 papers
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto +3
Despite the remarkable success of deep learning in medical imaging analysis, medical image segmentation remains challenging due to the scarcity of high-quality labeled images for s…
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology
Nati Daniel, Eliel Aknin, Ariel Larey +4
Artificial intelligence and machine learning techniques have the promise to revolutionize the field of digital pathology. However, these models demand considerable amounts of data,…
DEPAS: De-novo Pathology Semantic Masks using a Generative Model
Ariel Larey, Nati Daniel, Eliel Aknin +2
The integration of artificial intelligence into digital pathology has the potential to automate and improve various tasks, such as image analysis and diagnostic decision-making. Ye…