Results 21 to 30 of about 169,019 (308)
Object segmentation by fitting statistical shape models : a Kernel-based approach with application to wisdom tooth segmentation from CBCT images [PDF]
, 2014 Image segmentation is an important and challenging task in medical image analysis. Especially from low-quality images, segmentation algorithms have to cope with misleading background clutter, insufficient object boundaries and noise in the image ...
Jud, Christoph
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Efficient Subclass Segmentation in Medical Images
, 2023 As research interests in medical image analysis become increasingly fine-grained, the cost for extensive annotation also rises. One feasible way to reduce the cost is to annotate with coarse-grained superclass labels while using limited fine-grained annotations as a complement.
Linrui Dai +2 more
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Interaction in the segmentation of medical images: A survey
Medical Image Analysis, 2001 Segmentation of the object of interest is a difficult step in the analysis of digital images. Fully automatic methods sometimes fail, producing incorrect results and requiring the intervention of a human operator. This is often true in medical applications, where image segmentation is particularly difficult due to restrictions imposed by image ...
Olabarriaga, S.D., Smeulders, A.W.M.
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Review of U-Net-Based Convolutional Neural Networks for Breast Medical Image Segmentation [PDF]
Jisuanji kexue yu tansuoU-Net and its variants have showcased exceptional performance in the domain of breast medical image segmentation. By employing a fully convolutional network (FCN) structure for semantic segmentation, the symmetrical structure of U-Net offers remarkable ...
PU Qiumei, YIN Shuai, LI Zhengmao, ZHAO Lina
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Semi-supervised Learning for Real-time Segmentation of Ultrasound Video Objects: A Review [PDF]
Advanced Ultrasound in Diagnosis and Therapy, 2023 Real-time intelligent segmentation of ultrasound video object is a demanding task in the field of medical image processing and serves as an essential and critical step in image-guided clinical procedures.
Jin Guo, MD, Zhaojun Li, PhD, Yanping Lin, PhD
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Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation [PDF]
, 2011 Copyright @ 2011 Shadi AlZubi et al. This article has been made available through the Brunel Open Access Publishing Fund.The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying ...
Alzubi, S +5 more
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Digital Medical Image Segmentation Using Fuzzy C-Means Clustering
UHD Journal of Science and Technology, 2020 In the modern globe, digital medical image processing is a major branch to study in the fields of medical and information technology. Every medical field relies on digital medical imaging in diagnosis for most of their cases.
Bakhtyar Ahmed Mohammed +1 more
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Brain Image Segmentation Based on Fuzzy Clustering
Al-Mustansiriyah Journal of Science, 2018 The segmentation performance is topic to suitable initialization and best configuration of supervisory parameters. In medical image segmentation, the segmentation is very important when the diagnosing becomes very hard in medical images which are not ...
Mohammed Y. Kamil
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Neutrosophic DICOM Image Processing and its applications [PDF]
Neutrosophic Sets and Systems, 2023 Medical images are essential in contemporary medicine because they provide practicable entropy, which is used to diagnose medical conditions. It is useful to visualize abnormality in several parts of the body.
D. Nagarajan, S. Broumi
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Facial soft tissue segmentation [PDF]
, 2014 The importance of the face for socio-ecological interaction is the cause for a high demand on any surgical intervention on the facial musculo-skeletal system.
Majeed, Tahir
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