Abstract The use of Unmanned Aerial Systems (UAS, aka drones) has shown to be feasible
to perform marine litter surveys. We operationally tested the use of multispectral images (5 …

The human immune system consists of a highly intelligent network of billions of
independent, self-organized cells that interact with each other. Machine learning (ML) is an …

Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …

The scarcity of annotated data has sparked significant interest in unsupervised pre-training
methods that leverage medical reports as auxiliary signals for medical visual representation …

The increasing availability of high-resolution satellite imagery has enabled the use of
machine learning to support land-cover measurement and inform policy-making. However …

Millions of women globally are impacted by the major health problem of breast cancer (BC).
Early detection of BC is critical for successful treatment and improved survival rates. In this …

Breast cancer has become one of the most dreaded diseases that can threaten the life of
any woman. Accurate target lesion segmentation is essential for early clinical intervention …

This study proposes an adaptive image augmentation scheme using deep reinforcement
learning (DRL) to improve the performance of a deep learning-based automated optical …

Map label placement is an important task in map production, which needs to be automated
since it is tedious and requires a significant amount of manual work. In this paper, we identify …

Robotic grasping has the challenge of accurately extracting the graspable target from a
complicated scenario. To address the issue, we propose a 3D vision prediction framework …