Label correlation guided discriminative label feature learning for multi-label chest image classification
Abstract Background and Objective Multi-label Chest X-ray (CXR) images often contain rich
label relationship information, which is beneficial to improve classification performance …
label relationship information, which is beneficial to improve classification performance …
Application of Artificial Intelligence Methods on Osteoporosis Classification with Radiographs—A Systematic Review
Simple Summary Osteoporosis is a major global health problem with substantial economic
and psychosocial repercussions. Underdiagnosis of osteoporosis is prevalent. The dual …
and psychosocial repercussions. Underdiagnosis of osteoporosis is prevalent. The dual …
Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome
Acute Respiratory Distress Syndrome (ARDS) is a severe lung injury with high mortality,
primarily characterized by bilateral pulmonary opacities on chest radiographs and …
primarily characterized by bilateral pulmonary opacities on chest radiographs and …
AI explainability and bias propagation in medical decision support
Artificial Intelligence (AI) model-related biases in medical decision support refer to
systematic errors in the predictions or recommendations made by these models, which arise …
systematic errors in the predictions or recommendations made by these models, which arise …