Page 40 - Convolutional Neural Networks News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Convolutional neural networks. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Convolutional Neural Networks Today - Breaking & Trending Today

Bairong Inc. Wins Three Patents for Federated Learning and Voice Interruption

/PRNewswire/ Bairong Inc ("Bairong" or "the Company", 6608.HK), a leading independent AI-powered technology platform in China, was recently granted three. ....

Zhang Shaofeng , Prnewswire Bairong Inc , Bairong Inc , Convolutional Neural Networks , Federated Learning , Automatic Speech Recognition , Natural Language Understanding ,

Bairong Inc. Wins Three Patents for Federated Learning and Voice Interruption

/PRNewswire/ Bairong Inc ("Bairong" or "the Company", 6608.HK), a leading independent AI-powered technology platform in China, was recently granted three. ....

Zhang Shaofeng , Prnewswire Bairong Inc , Bairong Inc , Convolutional Neural Networks , Federated Learning , Automatic Speech Recognition , Natural Language Understanding ,

Google (Doodle) honors Prof. Lotfi Zadeh of UC Berkeley (the Father of Fuzzy Logic), who was also an inventor in a Cognitive Explainable-AI (Artificial Intelligence) 3D Image Recognition software startup ZAC

/PRNewswire/ Google Doodle has honored and celebrated the late Prof. Lotfi Zadeh (of UC Berkeley), the world-renowned mathematician, computer scientist, and. ....

Lotfi Zadeh , Bijan Tadayon , Z Advanced Computing Inc , Us Air Force , Academy Of Sciences , Sourcez Advanced Computing Inc , Convolutional Neural Networks , Fuzzy Logic , Artificial Intelligence , Object Recognition , Machine Learning , Image Recognition , Deep Convolutional Neural Networks , Advanced Computing , Z Advanced Computing ,

"Cascaded deep learning-based auto-segmentation for head and neck cance" by James C. Korte, Nicholas Hardcastle et al.

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 outlines of the organs at risk. Methods: Three convolutional neural network (CNN)-based auto-segmentation architectures were developed using manual segmentations and T2-weighted MRI images provided from the American Association of Physicists in Medicine (AAPM) radiotherapy MRI auto-contouring (RT-MAC) challenge dataset (n = 31). Auto-segmentation performance was evaluated with segmentation similarit ....

United States , American Association Of Physicists , American Association , Convolutional Neural Networks , Head And Neck Cancer , Image Segmentation , Magnetic Resonance Imaging , Organs At Risk ,

"Early Detection of Diabetic Foot Ulcer Using Convolutional Neural Netw" by Abdelrahman Shata and Nidhal Abdulaziz

Diabetic Foot Ulcer is a very common problem that faces diabetic patients with almost 15 percent of these patients developing a foot ulcer at least once in their life. Diabetic patients tend to suffer from numbness and loss of sensation in their feet making it hard for them to self-detect the ulcer therefore an early detection method is needed. The approach conducted in this paper uses a 2-dimentional image as an input and using convolutional neural networks to analyze the images. The system will classify the input images into two states, no ulcer or the ulcer is present and in this case the location of the ulcer will be marked on the image. The system achieved an F1- score of 81.3% with an improvement of more than 7% from the F1-score achieved in the Diabetic Foot Ulcer Challenge 2020. ....

Foot Ulcer , Diabetic Foot Ulcer Challenge , Artificial Intelligence , Convolutional Neural Networks , Diabetic Foot Ulcer , Image Processing ,