פרופ' אסף זריצקי

Visual interpretability of bioimaging deep learning models

Oded Rotem, Assaf Zaritsky

The success of deep learning in analyzing bioimages comes at the expense of biologically meaningful interpretations. We review the state of the art of explainable artificial intelligence (XAI) in bioimaging and discuss its potential in hypothesis generation and data-driven discovery.

שפת פרסום אנגלית
דפים 1394-1397
כתב עת Nature Methods
כרך 21
נושא מספר 8
סטטוס פרסום פורסם - 01.08.2024

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology
גישה למסמך
10.1038/s41592-024-02322-6
קבצים וקישורים אחרים
Link to publication in Scopus