3 papers
eess.IV2024
K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images
Mohamed Deriche, Mohammad Marufur
In clinical procedures, precise localization of the target area is an essential step for clinical diagnosis and screening. For many diagnostic applications, lung segmentation of ch…
cs.CV2024
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis
Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib +1
Explainable AI (XAI) has revolutionized the field of deep learning by empowering users to have more trust in neural network models. The field of XAI allows users to probe the inner…
cs.LG2024
Artificial Intelligence (AI) Based Prediction of Mortality, for COVID-19 Patients
Mahbubunnabi Tamala, Mohammad Marufur Rahmanb, Maryam Alhasimc +2
For severely affected COVID-19 patients, it is crucial to identify high-risk patients and predict survival and need for intensive care (ICU). Most of the proposed models are not we…