most citedSHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction

7 citations · 7 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 7 cited

SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction

Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson +1

The interpretability of deep neural networks has become a subject of great interest within the medical and healthcare domain. This attention stems from concerns regarding transpare…