1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2024
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation
Nati Daniel, May Nathan, Eden Azeroual +2
Incorporating artificial intelligence (AI) into digital pathology offers promising prospects for automating and enhancing tasks such as image analysis and diagnostic processes. How…
eess.IV2023★ 1 cited
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,…
eess.IV2023
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…