Results 251 to 260 of about 274,745 (274)

Gastro-Intestinal Tract Image Segmentation using Edge U-Net and U-Net VGG19

2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3), 2023
Sashank Talakola, Madhusudhan Suryaprathap Reddy, Rishi Nagam, Srilatha Chebrolu   +3 more
openaire   +1 more source

SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture

Energy, 2022
Xinyuan Fan, Weige Zhang, Caiping Zhang
exaly  

U-Net: deep learning for cell counting, detection, and morphometry

Nature Methods, 2018
Robert Bensch, Ahmed Abdulkadir, Tuan Leng Tay   +2 more
exaly  

Computer vision-based concrete crack detection using U-net fully convolutional networks

Automation in Construction, 2019
Zhenqing Liu, Yize Wang
exaly  

Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation

Medical Image Analysis, 2020
Zhiwen Yu, Zaiyi Liu, Chu Han
exaly  

CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation

2025 International Joint Conference on Neural Networks (IJCNN)
Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique   +3 more
openaire   +1 more source

Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

Biomedical Signal Processing and Control, 2020
Michał Byra, Haydee Ojeda-Fournier, Michael P Andre   +2 more
exaly  

Strojno učenje u .NET-u

2020
Ovim radom se analizira ML.NET framework unutar .NET platforme. Razmatra se njegova upotreba unutar desktop i web aplikacija koje se mogu razvijati unutar .NET-a. Strojno učenje postaje sve raširenija grana tehnologije i stvaraju se alati koji uvelike pojednostavljuju stvaranje kompleksnih modela i rješenja kroz strojno učenje koja se mogu koristiti ...
openaire   +1 more source

Segmenting Brain Tumors with Deep Learning: U-Net, U-Net with ResNet, and U-Net++

Jhanavi Malhotra, Kavisha Gupta, Kavya Singla, Himanshu Mittal   +3 more
openaire   +1 more source

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling

IEEE Transactions on Medical Imaging, 2020
Yuta Hiasa, Nobuhiko Sugano, Yoshinobu Sato   +2 more
exaly