Results 21 to 30 of about 572,802 (294)
The Active Segmentation Platform for Microscopic Image Classification and Segmentation
Brain Sciences, 2021 Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
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IEEE Access, 2019 Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia +4 more
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A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation [PDF]
Int. J. Wavelets Multiresolution Inf. Process., 2014 In this paper, we present an algorithm to automatically detect meaningful modes in a histogram. The proposed method is based on the behavior of local minima in a scale-space representation.
J. Gilles, K. Heal
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HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation
Sensors, 2022 Doctors usually diagnose a disease by evaluating the pattern of abnormal blood vessels in the fundus. At present, the segmentation of fundus blood vessels based on deep learning has achieved great success, but it still faces the problems of low accuracy ...
Xiaolong Hu, Liejun Wang, Yongming Li
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A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]
Zhihui kongzhi yu fangzhen, 2023 Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
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Selected Applications of Scale Spaces in Microscopic Image Analysis
Cybernetics and Information Technologies, 2015 Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches.
Prodanov Dimiter +2 more
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Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Naeemullah Khan +3 more
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A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation [PDF]
Magnetic Resonance Materials in Physics, Biology and Medicine, 2013 ObjectThis study proposes a scale space based algorithm for automated segmentation of single-shot tagged images of modest SNR. Furthermore the algorithm was designed for analysis of discontinuous or shearing types of motion, i.e.
A. Sprengers +5 more
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IEEE AccessMedical image segmentation plays an essential role in computer-aided diagnosis, supports physicians with fast and accurate information to make timely treatment decisions.
Yu Liu, Yanping Chen, Yang Yu
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IEEE AccessMedical image segmentation requires accurate lesion boundary delineation under complex structural variations and interference conditions. However, lightweight models are constrained by their limited parameter capacity and computational budgets, making it
Siyi Li, Gaocai Wang, Yiwen Li
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