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Segmentation of breast ultrasound image with semantic classification of superpixels
Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …
[图书][B] The ITK software guide
Abstract The Insight Toolkit (ITK) is an open-source software toolkit for performing
registration and segmentation. Segmentation is the process of identifying and classifying …
registration and segmentation. Segmentation is the process of identifying and classifying …
Multiscale geodesic active contours for ultrasound image segmentation using speckle reducing anisotropic diffusion
Image segmentation is a fundamental but undoubtedly challenging problem in many
applications due to various imaging artifacts, eg, noise, intensity inhomogeneity and low …
applications due to various imaging artifacts, eg, noise, intensity inhomogeneity and low …
A framework for evaluating image segmentation algorithms
The purpose of this paper is to describe a framework for evaluating image segmentation
algorithms. Image segmentation consists of object recognition and delineation. For …
algorithms. Image segmentation consists of object recognition and delineation. For …
[图书][B] Insight into images: principles and practice for segmentation, registration, and image analysis
TS Yoo - 2004 - dl.acm.org
Dura E Domingo J Ayala G Martí-Bonmatí L (2012) Evaluation of the registration of temporal
series of contrast-enhanced perfusion magnetic resonance 3D images of the liver Computer …
series of contrast-enhanced perfusion magnetic resonance 3D images of the liver Computer …
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
Breast cancer is the most frequently diagnosed malignancy and the second leading cause of
mortality in women. In the last decade, ultrasound along with digital mammography has …
mortality in women. In the last decade, ultrasound along with digital mammography has …
Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility
D Wormanns, G Kohl, E Klotz, A Marheine, F Beyer… - European …, 2004 - Springer
The aim of this study was to assess the in vivo measurement precision of a software tool for
volumetric analysis of pulmonary nodules from two consecutive low-dose multi-row detector …
volumetric analysis of pulmonary nodules from two consecutive low-dose multi-row detector …
State of the art of level set methods in segmentation and registration of medical imaging modalities
Segmentation of medical images is an important step in various applications such as
visualization, quantitative analysis and image-guided surgery. Numerous segmentation …
visualization, quantitative analysis and image-guided surgery. Numerous segmentation …
[HTML][HTML] Kidney tumor semantic segmentation using deep learning: A survey of state-of-the-art
A Abdelrahman, S Viriri - Journal of imaging, 2022 - mdpi.com
Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic
procedures for early detection and diagnosis are crucial. Some difficulties with manual …
procedures for early detection and diagnosis are crucial. Some difficulties with manual …
Direct shape regression networks for end-to-end face alignment
Face alignment has been extensively studied in computer vision community due to its
fundamental role in facial analysis, but it remains an unsolved problem. The major …
fundamental role in facial analysis, but it remains an unsolved problem. The major …