Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …

Accurate affordance detection and segmentation with pixel precision is an important piece in
many complex systems based on interactions, such as robots and assitive devices. We …

Deep-learning methods for auto-segmenting brain images either segment one slice of the
image (2D), five consecutive slices of the image (2.5 D), or an entire volume of the image …

Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …

Purpose Segmentation of organs from chest X-ray images is an essential task for an
accurate and reliable diagnosis of lung diseases and chest organ morphometry. In this …

In recent years, the rapid development of blockchain technology has attracted much
attention from people around the world. Scammers take advantage of the pseudo-anonymity …

Cornea is the outmost layer of an eye helps to focuses the light rays towards the retinal layer
of the eye. The irregular thickness of the corneal layer results in poor focus of light rays over …

Purpose Intravascular ultrasound (IVUS) imaging is crucial for planning and performing
percutaneous coronary interventions. Automatic segmentation of lumen and vessel wall in …

Convolutional neural networks (CNNs) have achieved human-level performance in various
computer vision tasks, such as image classification, object detection & segmentation, etc …