Assaf Zaritsky
Senior Academic
Visual interpretability of bioimaging deep learning models
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.
| Publication language | English |
| Pages | 1394-1397 |
| Journal | Nature Methods |
| Volume | 21 |
| Issue number | 8 |
| Publication status | Published - 01.08.2024 |
ASJC Scopus subject areas
Biotechnology
Biochemistry
Molecular Biology
Cell Biology
