Results 11 to 20 of about 5,768,673 (280)
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
IEEE Transactions on Image Processing, 2023 Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases. Furthermore, small objects in infrared images are frequently emerged bright and dark, posing severe demands for ...
Xin Wu 0001 +2 more
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Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
CoRR, 2019 Data-driven models for audio source separation such as U-Net or Wave-U-Net are usually models dedicated to and specifically trained for a single task, e.g. a particular instrument isolation. Training them for various tasks at once commonly results in worse performances than training them for a single specialized task.
Meseguer-Brocal, Gabriel +1 more
openaire +6 more sources
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
U-Net Optimization for Hyperreflective Foci Segmentation in Retinal OCT [PDF]
DiagnosticsBackground/Objectives: Hyperreflective foci (HRF) are supportive optical coherence tomography (OCT) imaging biomarkers that have been examined for their association with disease progression and severity in various retinal disorders.
Pavithra Kodiyalbail Chakrapani +6 more
doaj +2 more sources
Perbandingan Model U-Net dan ELU-Net untuk Segmentasi Semantik Citra Medis Kanker Pankreas
Jurnal Nasional Teknik Elektro dan Teknologi InformasiAnalisis citra medis untuk melakukan segmentasi semantik menggunakan teknologi deep learning masif dikembangkan saat ini. Salah satu pengembangannya adalah arsitektur U-Net, yang dapat menghasilkan akurasi yang baik. Pengembangan dilanjutkan menghasilkan
Algi Fari Ramdhani +2 more
doaj +2 more sources
Segmentation of roots in soil with U-Net [PDF]
Plant Methods, 2020 Abstract Background Plant root research can provide a way to attain stress-tolerant crops that produce greater yield in a diverse array of conditions. Phenotyping roots in soil is often challenging due to the roots being difficult to access and the use of time consuming manual methods.
Abraham George Smith +3 more
openaire +7 more sources
Scientific Reports, 2022 Deep learning allows automatic segmentation of teeth on cone beam computed tomography (CBCT). However, the segmentation performance of deep learning varies among different training strategies.
Kang Hsu +12 more
doaj +1 more source
Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach
Sensors, 2021 The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the automated diagnosis of pancreatic cyst lesions on endoscopic ultrasonography (EUS) images. In this study, we proposed a deep-learning approach for PCL segmentation on EUS
Seok Oh +3 more
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TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
CoRR, 2021 8 page, 3 ...
Yao Chang +3 more
openaire +3 more sources
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications
IEEE Access, 2021 U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have resulted in extensive adoption of U-net as the primary tool for ...
Nahian Siddique +3 more
doaj +1 more source