Results 11 to 20 of about 6,997,548 (275)
U-Net-Based Models towards Optimal MR Brain Image Segmentation
Diagnostics, 2023 Brain tumor segmentation from MRIs has always been a challenging task for radiologists, therefore, an automatic and generalized system to address this task is needed.
Rammah Yousef +6 more
doaj +2 more sources
New multiple sclerosis lesion segmentation and detection using pre-activation U-Net [PDF]
Frontiers in Neuroscience, 2022 Automated segmentation of new multiple sclerosis (MS) lesions in 3D MRI data is an essential prerequisite for monitoring and quantifying MS progression. Manual delineation of such lesions is time-consuming and expensive, especially because raters need to
Pooya Ashtari +5 more
doaj +2 more sources
Mandibular Image Segmentation and 3d Reconstruction using U-Net Model [PDF]
JUTI: Jurnal Ilmiah Teknologi InformasiPenelitian ini bertujuan untuk meningkatkan presisi dan efisiensi dalam segmentasi citra mandibula dan rekonstruksi 3D menggunakan model U-Net. Segmentasi otomatis dengan U-Net menangani tantangan metode manual yang memakan waktu.
Mambaul Izzi +2 more
doaj +2 more sources
Applied Sciences, 2020 Malignant lesions are a huge threat to human health and have a high mortality rate. Locating the contour of organs is a preparation step, and it helps doctors diagnose correctly.
Chen Li, Wei Chen, Yusong Tan
doaj +2 more sources
U-Net-Based Fingerprint Enhancement for 3D Fingerprint Recognition [PDF]
SensorsBiometrics-based authentication mechanisms can address the built-in weakness of conventional password or token-based authentication in identifying genuine users. However, 2D-based fingerprint biometrics authentication faces the problem of sensor spoofing
Jiankun Hu +11 more
core +4 more sources
MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net [PDF]
Informatics in Medicine Unlocked, 2020 Accurate segmentation of kidneys and kidney tumors is an essential step for radiomic analysis as well as developing advanced surgical planning techniques.
Wenshuai Zhao +3 more
doaj +2 more sources
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation [PDF]
IEEE Access, 2021 3D Lung segmentation is essential since it processes the volumetric information of the lungs, removes the unnecessary areas of the scan, and segments the actual area of the lungs in a 3D volume.
Dhaval D. Kadia +4 more
doaj +3 more sources
A 3D U-Net Based on a Vision Transformer for Radar Semantic Segmentation. [PDF]
Sensors (Basel), 2023 Radar data can be presented in various forms, unlike visible data. In the field of radar target recognition, most current work involves point cloud data due to computing limitations, but this form of data lacks useful information. This paper proposes a semantic segmentation network to process high-dimensional data and enable automatic radar target ...
Zhang T, Fan Y.
europepmc +5 more sources
Robust 3D U-Net Segmentation of Macular Holes [PDF]
CoRR, 2021 Macular holes are a common eye condition which result in visual impairment. We look at the application of deep convolutional neural networks to the problem of macular hole segmentation. We use the 3D U-Net architecture as a basis and experiment with a number of design variants. Manually annotating and measuring macular holes is time consuming and error
Jonathan Frawley +5 more
openaire +4 more sources
Sample segmentation outputs for 3D U-Net++ segmentation.
, 2023 Sample segmentation outputs for 3D U-Net++ segmentation.
Kashfia Sailunaz (14295220) +5 more
core +2 more sources