Segmentation of uterine fibroid using morphology: An automatic approach

Jeyalakshmi, T. Ratha; Ramar, K.

doi:10.1109/iama.2009.5228023

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…In fact, it is commonly used to image the uterus, the ovaries, and the Fallopian tubes. Ultrasound image segmentation in gynecologic applications usually focuses on detecting and/or segmenting uterine fibroids [29], [238]- [241] and ovary follicles [73], [242]- [244]. The segmentation of ovarian follicles is important for assessing the physiological status of individual follicles and monitoring their growth in women undergoing assisted reproductive therapy.…”

Section: Gynecologymentioning

confidence: 99%

Automated localization and segmentation techniques for B-mode ultrasound images: A review

Meiburger

Acharya

Molinari

2018

Computers in Biology and Medicine

115

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Section: Gynecologymentioning

confidence: 99%

Automated localization and segmentation techniques for B-mode ultrasound images: A review

Meiburger

Acharya

Molinari

2018

Computers in Biology and Medicine

115

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“…Gabor filters [3] have been used in many applications such as texture segmentation, target detection, document analysis, edge detection, retinal identification, and image coding and image representation. A basic Gabor filter channel consists of Gabor prefilter ad Gaussian postfilter.…”

Section: A Gabor Prefiltermentioning

confidence: 99%

Uterus Image Segmentation Using Multi-feature EM Algorithm Based on Gabor Filter

Malarkhodi¹,

Banu²

2010

2010 International Conference on Advances in Recent Technologies in Communication and Computing

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In this work the image is segmented effectively based on texture feature by reducing the noise. For effective image segmentation Expectation-Maximization (EM) algorithm based on Gabor filter is used. The EM algorithm is applied on 2D Ultrasonic image of uterus and tested. The Gabor function has been recognized by its multiresolution properties and the precision of locating the texture features in the spatial domain. The approach consists of two steps: finding an effective and discriminative set of texture features using Gabor filters and EM based image segmentation. The work is simulated using MAT LAB (Matrix laboratory).

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“…Lee et al [5] has introduced an automatic segmentation technique for medical images which is based on the statistical technique. After uses of the morphological operations, it allocates automatically the number of objects or clusters composed, to given image and approve the Gaussian-Mixture-Model (GMM) for statistically image modes.…”

Section: Literatur Esurveymentioning

confidence: 99%

“…After uses of the morphological operations, it allocates automatically the number of objects or clusters composed, to given image and approve the Gaussian-Mixture-Model (GMM) for statistically image modes. For estimation the parameters of GMM [5] has introduced a new method is Deterministic Annealing Expectation Enlargement algorithm. The outcomes shows that proposed statistical technique can fragment exactly in different Computed Tomography (CT) images.…”

Section: Literatur Esurveymentioning

confidence: 99%

Development and Implementation of VLSI Reconfigurable Architecture for Gabor Filter in Medical Imaging Application

Hegde¹,

Sivakumar²

2018

IJEMR

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The Gabor filter is a very effective tool in visual search approaches and multimedia applications. This filter provides high resolution in time-frequency domains and thus finds use in object recognition, character recognition and pattern recognition applications. Medical Image analysis using image processing algorithms is one of the best ways of diagnosing diseases inside human body. The Gabor wavelets resemble the visual cortex cell operation of mammalian brains and hence are best suited for biological image analysis. A Tonsillitis detection system is proposed here using Gabor filtering approach. This system detects the presence of Tonsillitis from the tonsils images. A suitable VLSI architecture for the implementation of the Gabor filter was modeled in Verilog using Xilinx tool and simulated using the tonsils test images. The proposed system was successful in detecting the presence of Tonsillitis from the diseased tonsils image. The complete system was then synthesized and implemented on FPGA Artix 7. The design was capable of operating at a maximum frequency of 394.563 MHz.

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Segmentation of uterine fibroid using morphology: An automatic approach

Cited by 9 publications

References 11 publications

Automated localization and segmentation techniques for B-mode ultrasound images: A review

Automated localization and segmentation techniques for B-mode ultrasound images: A review

Uterus Image Segmentation Using Multi-feature EM Algorithm Based on Gabor Filter

Development and Implementation of VLSI Reconfigurable Architecture for Gabor Filter in Medical Imaging Application

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