AUTOMATED INTRACRANIAL HEMATOMA CLASSIFICATION IN TRAUMATIC BRAIN INJURY (TBI) PATIENTS USING META-HEURISTIC OPTIMIZATION TECHNIQUES

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques

Traumatic Brain Injury (TBI) is a devastating and life-threatening medical condition that can result in long-term physical and mental disabilities and even death.Early and accurate detection of Intracranial Hemorrhage (ICH) in TBI is crucial for analysis and treatment, as the condition can deteriorate significantly with time.Hence, a rapid, reliabl

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Ensemble learning and EigenCAM-based feature analysis for improving the performance and explainability of object detection in drone imagery

Abstract Object Detection (OD) from drone images is a long-standing challenge due to multi-scale objects in the images.Several sophisticated and robust OD models have been proposed in the last few decades.This has significantly improved the performance of the OD task.However, these models remain highly opaque.It is challenging for humans to compreh

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Detecting artifacts in seismic profiles

Detecting imaging artifacts is a precondition for interpreting seismic profiles, Liquid Foundation as well as one of the fidelity (accuracy) measures for all seismic images.Based on field seismic reflection profiles, this paper analyzes some common and often miss-interpreted seismic imaging artifacts, and proposes to detect the artifacts through an

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