The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Image recognition is an important application of deep learning in the field of computer vision, and the image classification and fusion model based on deep transfer learning researched by WiMi ...

Deep learning, a subfield of machine lLearning, has recently advanced the state-of-the-art learning from images and become the standard approach for computer vision tasks. We will present a case study ...

Our image-based subtype classification on the basis of deep learning models is a novel tool to refine risk stratification in cancers. The image subtypes detected for glioblastoma represent a promising ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Rodrigo Carrasco-Davis, Guillermo Cabrera-Vives, Francisco Förster, Pablo A. Estévez, Pablo Huijse, Pavlos Protopapas, Ignacio Reyes, Jorge Martínez-Palomera, Cristóbal Donoso, Deep Learning for Image ...

TOMRA Mining has unveiled CONTAIN™, a proprietary deep learning technology designed to enhance the recovery of inclusion-type ores that are difficult to detect using traditional sorting methods.