Results 41 to 50 of about 170,175 (308)
A comparative evaluation of interactive segmentation algorithms [PDF]
, 2010 In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which participants were tasked with extracting 100 objects from a common dataset: 25
McGuinness, Kevin +2 more
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Frontiers in Public Health, 2022 To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D multimodal medical image segmentation algorithm using ...
Weiwei Gao +3 more
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Web-based AI system for medical image segmentation [PDF]
, 2023 Image segmentation is a crucial step in the diagnosis of brain tumours, and machine learning has emerged as a promising tool for tumour characterisation from medical imaging data.
Li, Yiqi +7 more
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Current Directions in Biomedical Engineering, 2017 Multimodal imaging is gaining in importance in the field of personalized medicine and can be described as a current trend in medical imaging diagnostics. The segmentation, classification and analysis of tissue structures is essential.
Stich Manuel +3 more
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Application of Image Segmentation Technology Based on Machine Learning in Medical Image Analysis [PDF]
ITM Web of ConferencesMedical image analysis heavily relies on the crucial step of image segmentation, which possesses the capability to discern and differentiate various structures within medical imagery.
Zhang Yurun
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Pixel Diffuser: Practical Interactive Medical Image Segmentation without Ground Truth
Bioengineering, 2023 Medical image segmentation is essential for doctors to diagnose diseases and manage patient status. While deep learning has demonstrated potential in addressing segmentation challenges within the medical domain, obtaining a substantial amount of data ...
Mingeon Ju +5 more
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Segmentation of the left ventricle of the heart in 3-D+t MRI data using an optimized nonrigid temporal model [PDF]
, 2008 Modern medical imaging modalities provide large amounts of information in both the spatial and temporal domains and the incorporation of this information in a coherent algorithmic framework is a significant challenge.
Lynch, Michael +2 more
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Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis [PDF]
, 2021 The development of highly accurate, quantitative automatic medical image segmentation techniques, in comparison to manual techniques, remains a constant challenge for medical image analysis.
Asaturyan, H.
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Automatic segmentation of the left ventricle cavity and myocardium in MRI data [PDF]
, 2006 A novel approach for the automatic segmentation has been developed to extract the epi-cardium and endo-cardium boundaries of the left ventricle (lv) of the heart. The developed segmentation scheme takes multi-slice and multi-phase magnetic resonance (MR)
Lynch, Michael +2 more
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Rethinking Breast Cancer Diagnosis through Deep Learning Based Image Recognition
Sensors, 2023 This paper explored techniques for diagnosing breast cancer using deep learning based medical image recognition. X-ray (Mammography) images, ultrasound images, and histopathology images are used to improve the accuracy of the process by diagnosing breast
Deawon Kwak, Jiwoo Choi, Sungjin Lee
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