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TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for

Mahesh Anil Inamdar1, Anjan Gudigar2, U Raghavendra1

  • 1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India.

Scientific Reports
|February 19, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Deep learningIschemic stroke detectionMonte Carlo dropoutUncertainty quantificationeXplainable AI

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Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Ischemic Stroke l: Introduction01:15

Ischemic Stroke l: Introduction

Ischemic stroke is an acute cerebrovascular condition in which blood flow to a brain region is suddenly interrupted, leading to tissue infarction. Neurons depend on continuous oxygen and glucose supply, so even brief reductions in perfusion cause energy failure, ionic imbalance, and irreversible injury. Ischemic strokes are classified into thrombotic and embolic types based on their underlying mechanisms.Thrombotic MechanismsThrombotic stroke develops when a clot forms within a cerebral artery.

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