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The advance of deep learning has made huge changes in computer vision and produced various off-the-shelf trained models. Particularly, Convolutional Neural Network (CNN) has been widely used to build image classification model which allow researchers transfer the pre-trained learning model for other classifications. We propose a transfer learning method to detect breast cancer using histopathology...
In the recent times the antenna is being used in the medical development for the efficient microwave imaging to detect the breast cancer. The role of design in this research is wideband dielectric resonator antenna (WDRA) by using an inverted L-shape with respect to the curved top face of DRA and inverted trapezoidal patch feed. The antenna design is modeled by using CST microwave studio software...
In this study, the mean glanduler dose (MGD) displayed by the mammography system and the MGD calculated according to TS EN 61223-3-2 evaluation and routine testing in medical imaging departments standard have been compared. Measurements were performed in a full-field digital mammography system (FFDM) using polymethyl-methacrylate phantom (PMMA) to simulate breast thicknesses ranging from 20 mm to...
In this study, it was aimed to detect lesion and their radius information from mammography images using the Vision Development Module. The study was performed using ten different images with uniformly distributed lesions from the mammography images found in the MIAS database. First, threshold was applied to the mammography images loaded into the Vision Development Module to make the lesions clear...
Breast mass segmentation in digital mammography is one of the most significant methods of breast cancer prevention. An integrated approach for mammographic mass segmentation is proposed in this paper. Given a mammographic image, it is first eliminated interference and enhanced in the preprocessing states. Then, the preprocessed images are detected and segmented by level set method. A preliminary evaluation...
Clinical diagnostic imaging modalities of breast cancer are still having certain limitations such as low sensitivity in dense breast in mammography and low specificity of the B-mode ultrasound [1, 2]. Photoacoustic (PA) imaging has been introduced as an enabling tool to acquire important functional information of the pathologic tissues as well as molecular imaging of cancer when it is augmented with...
Following paper presents new approach to the problem of automotive Ki-67 proliferation factor estimation in breast cancer biopsy images. This method is based on context filtering with designated neighborhood masks for edge detection. Proposed method was designed to compensate two major problems: cell shape divergence from ellipse and variability of color hue along with intensity in cell staining....
About 1 in 8 women will develop breast cancer. Histological tumor grade and biological markers such as oestrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2) are prognostic indicators for the clinical response to medical treatment and patient prognosis. Breast ultrasound (US) is mainly used to diagnose breast cancer or guide breast biopsies. However,...
Invasiveness research is an essential step in breast cancer metastasis. The application of non-contact high frequency ultrasound microbeam stimulation (HFUMS) offers a manner of determining the invasion potential of breast cancer cells. In this article, we compare the calcium elevations elicited in breast cancer cells.
Irregular patterns of microcalcifications in the breast may indicate a malignant cancer tumor. The gold standard for early detection is X-ray mammography. However, high density of connective tissue of the breast can limit detection. Improved suppression of the connective tissue can be achieved with ultrasound. However detecting the weak signals from microcalcifications in a highly echoic background...
H-scan is a new ultrasound (US) technique that images the relative size of acoustic scatterers. This modality relies on matching a model of pulse-echo formation to the mathematics of a class of Gaussian-weighted Hermite polynomials (GWHP). Parallel convolution filters using the second (GWH2) and eighth (GWH8) components are applied to the radio frequency US data to capture the low and high frequency...
Blood-brain and blood-tumor barriers (BBB and BTB) constitute a major obstacle to the transport of therapeutics in brain tumors. While several studies have demonstrated the potential of focused ultrasound (FUS) to disrupt transiently the BBB/BTB and improve drug delivery, there is a lack of fundamental understanding of the impact of this method on the pharmacokinetics of anticancer agents in the brain...
The article presents an innovative approach to the automatic detection of cells nuclei in FISH microscopic images. The proposed solution is based on L2 distance function which is used in patterns recognition in images. The results of researches show that an efficient identification of cells nuclei in FISH images with the presented method is possible. The numerical results show that the accuracy of...
Contrast enhanced ultrasound (CEUS) shows great potentials for visualising lymphatic vessels and identifying sentinel lymph nodes (SLN) which aid the diagnosis of breast cancer. However, current CEUS imaging techniques have some limitations: 1) Nonlinear tissue artefacts result in false bubble signals and reduce the image contrast; 2) Low spatial and temporal resolution limits the amount of information...
Tumor hypoxia has been shown to decrease the sensitivity of solid tumors to radiation. Systemic efforts to increase tumor oxygenation levels immediately prior to therapy, however, have largely proven unsuccessful. The objective of this work was to determine the utility of oxygen-filled, ultrasound sensitive microbubbles for locally delivering oxygen and sensitizing tissue to radiation in a breast...
Breast cancer is the most common category of cancers in woman around the world. Ultrasonography imaging modalities (US) are highly recommended for breast cancer examining due to their sensitivity, specificity, cost-effective, accessibility, portability, comfort, as well as non-invasive tool. In addition, an integration of a conventional US and its adjunct modalities which is Power Doppler has been...
Breast cancer is the most common cancer among women. Histological images are widely used for breast cancer diagnosing. In this research study, the fuzzy system of breast precancerous and cancerous conditions diagnosing is proposed. This system is based on the expert evaluation of histological images and can be used in medical practice.
Invasiveness research is an essential step in breast cancer metastasis. The application of high-frequency ultrasound microbeam stimulation (HFUMS) offers a manner of determining the invasion potential of human breast cancer cells by eliciting the elevation of transient cytoplasmic calcium ions (Ca2+). The fluorescent change in invasive breast cancer cells (MDA-MB-231), reflecting Ca2+ elevation elicited...
In this paper, a novel approach for classification rule mining is presented. The remarkable relationship between the rule extraction procedure and the concept of multiobjective optimization is emphasized. The range values of features composing the rules are handled as decision variables in the modelled multiobjective optimization problem. The proposed method is applied to three well-known datasets...
Phase-change contrast agents (PCCAs) have advantageous properties in terms of smaller size, longer half-life and selective activation control compared to conventional microbubble contrast agents (MCAs), which make them ideal for ultrasound cancer imaging. [1] Acoustic signal from tumour site can be further enhanced by receptor targeted PCCAs. However there is still a lack of understanding of the behaviour...
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