Grand challenges have become the de facto standard for benchmarking image analysis
algorithms. While the number of these international competitions is steadily increasing …

Lung cancer (LC) is the most common cause of cancer-related deaths in the UK due to
delayed diagnosis. The existing literature establishes a variety of factors which contribute to …

Abstract Machine learning (ML) applications in medical artificial intelligence (AI) systems
have shifted from traditional and statistical methods to increasing application of deep …

Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted
from traditional and statistical methods to increasing application of deep learning models …

A major step in lung cancer diagnosis is the classification of nodule malignancy, but benign
and malignant nodules appear very similar in early stages, leading to frequent …

Recent research about lung cancer risk prediction model require the data for predicting as
same as the data for training whether based on single-source data or multi-source data …

Lung cancer is the deadliest cancer worldwide. This fact has led to increased development
of medical and computational methods to improve early diagnosis, aiming at reducing its …

Probabilistic machine learning models are often insufficient to help with decisions on
interventions because those models find correlations-not causal relationships. If …

Clinical decision support systems are computer-based systems developed with the goal of
assisting health care providers in arduous clinical tasks or improving decision-making. In …

As the use of AI in medical imaging has increased, so has the need to explain a model's
results. Segmentation models are one technique used to produce explainable results. Due …