Results 11 to 20 of about 5,543,646 (278)
A dynamic petri net model for iterative and interactive distributed multimedia presentation [PDF]
, 2005 Object Composition Petri Nets (OCPN), Priority Petri Nets (P-Net), Dynamic OCPN (DOCPN) and Enhanced P-Nets (EP-Net) have extended the original Petri Net to achieve the modeling of media synchronization and asynchronous user interactions during ...
Guan, SU, Tan, WK
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Sensors, 2022 Building segmentation is crucial for applications extending from map production to urban planning. Nowadays, it is still a challenge due to CNNs’ inability to model global context and Transformers’ high memory need.
Batuhan Sariturk, Dursun Zafer Seker
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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
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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
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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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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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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
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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
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Frontiers in Oncology, 2021 Few studies have reported the reproducibility and stability of ultrasound (US) images based radiomics features obtained from automatic segmentation in oncology. The purpose of this study is to study the accuracy of automatic segmentation algorithms based
Juebin Jin +9 more
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U-Net_dc: a novel U-Net-based model for endometrial cancer cell image segmentation
, 2023 Mutated cells may constitute a source of cancer. As an effective approach to quantifying the extent of cancer, cell image segmentation is of particular importance for understanding the mechanism of the disease, observing the degree of cancer cell lesions,
Zhanlin Ji (14016624) +6 more
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