2 papers
eess.IV2024
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens +63
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artifi…
astro-ph.HE2021
Conceptual Analogies Between Multi-Scale Feeding and Feedback Cycles in Supermassive Black Hole and Cancer Environments
Matteo Santoni, Francesco Tombesi, Alessia Cimadamore +2
Adopting three physically-motivated scales (micro - meso - macro, which refer to mpc - kpc - Mpc, respectively) is paramount for achieving a unified theory of multiphase active gal…