An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - ar** highly effective retrieval systems to satisfy …
Towards large-scale histopathological image analysis: Hashing-based image retrieval
Automatic analysis of histopathological images has been widely utilized leveraging
computational image-processing methods and modern machine learning techniques. Both …
computational image-processing methods and modern machine learning techniques. Both …
Multi-view multi-scale CNNs for lung nodule type classification from CT images
In this paper, we propose a novel convolution neural networks (CNNs) based method for
nodule type classification. Compared with classical approaches that are handling four solid …
nodule type classification. Compared with classical approaches that are handling four solid …
Content-based processing and analysis of endoscopic images and videos: A survey
In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …
and minimally invasive surgery. Since then, various research communities with manifold …