Page 3 - Image Segmentation News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Automatic pedestrian lane detection is a challenging problem that is of great interest in assistive navigation and autonomous driving. Such a detection system must cope well with variations in lane surfaces and illumination conditions so that a vision-impaired user can navigate safely in unknown environments. This paper proposes a new lightweight Bayesian Gabor Network (BGN) for camera-based detection of pedestrian lanes in unstructured scenes. In our approach, each Gabor parameter is represented as a learnable Gaussian distribution using variational Bayesian inference. For the safety of visio...

Purpose: To investigate multiple deep learning methods for automated segmentation (auto-segmentation) of the parotid glands, submandibular glands, and level II and level III lymph nodes on magnetic resonance imaging (MRI). Outlining radiosensitive organs on images used to assist radiation therapy (radiotherapy) of patients with head and neck cancer (HNC) is a time-consuming task, in which variability between observers may directly impact on patient treatment outcomes. Auto-segmentation on computed tomography imaging has been shown to result in significant time reductions and more consistent ou...

Preschool or Childcare Market to see Huge Growth by 2026 | Crestar Education Group, EuroKids, RYB Education Institution iCrowd Newswire 06 Jun 2021, 14:22 GMT+10 Stay up-to-date and exploit latest trends of Preschool or Childcare Market with latest edition released by AMA. A Latest intelligence report published by AMA Research with title "Preschool or Childcare Market Outlook to 2026.A detailed study accumulated to offer Latest insights about acute features of the Global Preschool or Childcare market. This report provides a detailed overview of key factors in the Preschool or Childcare Marke...

There has been a strong desire for a series of industry standard machine learning benchmarks, akin to the SPEC benchmarks for CPUs, in order to compare relative solutions. Over the past two years, MLCommons, an open engineering consortium, have been discussing and disclosing its MLPerf benchmarks for training and inference, with key consortium members releasing benchmark numbers as the series of tests gets refined. Today we see the full launch of MLPerf Inference v1.0, along with ~2000 results into the database. Alongside this launch, a new MLPerf Power Measurement technique to provide additi...

Abstract In clinics, the information about the appearance and location of brain tumors is essential to assist doctors in diagnosis and treatment. Automatic brain tumor segmentation on the images acquired by magnetic resonance imaging (MRI) is a common way to attain this information. However, MR images are not quantitative and can exhibit significant variation in signal depending on a range of factors, which increases the difficulty of training an automatic segmentation network and applying it to new MR images. To deal with this issue, this paper proposes to learn a sample-adaptive intensity l...