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[IEEE 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Cleveland, OH, USA (2018.10.17-2018.10.19)] 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Gaussian Monocycle Pulse Generator with Calibration Circuit for Breast Cancer Detection
摘要： Gaussian Monocycle Pulses (GMP) play a very important role in a radar-based painless breast cancer detection system. In order to guarantee the detection accuracy, it is necessary to stabilize the pulse width and the amplitude under the influence of the manufacturing variation of MOSFETs. Therefore, in this paper, the GMP generator with a calibration circuit is proposed. The calibration circuit for adjusting the delay time of each path is realized by MOS capacitor array. The proposed GMP generator has a center frequency of 5.5 GHz, -3dB bandwidth from 2.8 GHz to 9.1 GHz, and 498.6 μW power consumption.
关键词： Gaussian Monocycle Pulse (GMP),equivalent time sampling,breast cancer detection system,calibration circuit
更新于2025-09-23 15:23:52
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STATISTICAL DETECTION OF BREAST CANCER BY MAMMOGRAM IMAGE
摘要： Objective: To create awareness about the breast cancer which has become one of the most common diseases among women that leads to death if not recognized at early stage. Methods: The technique of acquiring breast image is called mammography and is a diagnostic and screening tool to detect cancer. A cascade algorithm based on these statistical parameters is implemented on these mammogram images to segregate normal, benign, and malignant diseases. Results: Statistical features - such as mean, median, standard deviation, perimeter, and skewness - were extracted from mammogram images to describe their intensity and nature of distribution using ImageJ. Conclusion: A noninvasive technique which includes statistical features to determine and classify normal, benign, and malignant images are identified.
关键词： ImageJ,Malignant,Mammogram image,Benign,Breast cancer
更新于2025-09-23 15:23:52
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Evaluating the Efficiency of Infrared Breast Thermography for Early Breast Cancer Risk Prediction in Asymptomatic Population
摘要： The high incidence and mortality rate of breast cancer in India and the limitations of gold standard method X-ray mammography to be used as a screening and diagnostic modality in young women tempted us to evaluate the efficiency of highly sensitive and non-radiating Infrared Breast Thermography (IBT) in early breast abnormality detection. This study investigates the efficiency of IBT by doing Temperature based analysis (TBA), Intensity based analysis (IBA), and Tumor Location Matching (TLM). In TBA and IBA, several temperature and intensity features were extracted from each thermogram to characterize healthy, benign and malignant breast thermograms. In TLM, the locations of suspicious regions in thermograms were matched with the tumor locations in mammograms / Fine Needle Aspiration Cytology images to prove the efficiency of IBT. Thirteen different sets of features have been created from the extracted temperature and intensity features and their classification performances have been evaluated by using Support Vector Machine with Radial basis function kernel. Among all feature sets, the feature set comprising the statistically significant (p<0.05) features provides the highest classification accuracy of 83.22% with sensitivity 85.56% and specificity 73.23%. Based on the results of this study, IBT is found to be potential enough to be used as a proactive technique for early breast abnormality detection in asymptomatic population and hence, capable of identifying the subjects that need urgent medical attention.
关键词： Routine check-up tool,Early breast abnormality prediction,Infrared breast thermography,Asymptomatic Patients,Breast cancer
更新于2025-09-23 15:22:29
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Tissue-mimicking materials for breast phantoms up to 50 GHz
摘要： Millimeter (mm)-wave imaging has been recently proposed as a new technique for breast cancer detection, based on the significant dielectric contrast between healthy and tumor tissues. Here we propose a procedure to fabricate, electromagnetically characterize and preserve realistic breast tissue-mimicking phantoms for testing mm-wave imaging prototypes. Low-cost, non-toxic and easy-to-produce mixtures made of sunflower oil, water and gelatin were prepared and their dielectric properties were for the first time measured in the [0.5-50] GHz frequency range using a coaxial probe kit. Different oil and gelatin percentages were tested. An alternative recipe based on a waste-oil hardener was also proposed. Finally, water and sunflower oil were investigated as preservation media. The mixtures electromagnetic properties were in good agreement with those of human breast ex vivo samples. By changing the ingredient concentrations or using different solidifying agents it was possible to mimic different tissue types. Besides, we show that sunflower oil represents an effective preservation medium for the developed materials. The first breast phantom mimicking a tumor mass into healthy tissues up to 50 GHz was also successfully fabricated. Results demonstrated the potential of the designed recipes to mimic breast tissues with different biological characteristics.
关键词： microwave imaging,breast phantoms,breast cancer,dielectric properties,millimeter waves,cancer screening
更新于2025-09-23 15:22:29
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Investigation on ROI size and location to classify mammograms
摘要： Breast cancer is the major cause of death among women and early detection can lead to a longer survival. Computer Aided Diagnosis (CAD) system helps radiologists in the accurate detection of breast cancer. In medical images a Region of Interest (ROI) is a portion of image which carries the important information related to the diagnosis and it forms the basis for applying shape and texture techniques for cancer detection. Several ROI sizes and locations have been proposed for computer aided diagnosis systems. In the present work various ROI sizes have been used to determine the appropriate ROI size to classify fatty and dense mammograms. Two types of mammograms i.e. fatty and dense are used from the MIAS database. Various texture features have been determined from each ROI size for the analysis of texture characteristics. Fisher discriminant ratio is used to select the most relevant features for classification. Finally linear SVM is used for the purpose of classification. Highest classification accuracy of 96.1% was achieved for ROI size 200×200 pixels.
关键词： classification,breast cancer,digital mammograms,breast tissue,ROI,feature selection
更新于2025-09-23 15:22:29
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99mTc sestamibi SPECT: a possible tool for early detection of breast cancer lesions with high bone metastatic potential
摘要： The early identification of lesions with high metastatic potential by 99mTc sestamibi high-resolution SPECT analysis could be considered a new frontier for diagnosis and/or therapy of breast lesions.
关键词： SPECT,breast cancer,molecular imaging,breast osteoblast-like cells,99mTc sestamibi
更新于2025-09-23 15:22:29
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Hybrid technique for the detection of suspicious lesions in digital mammograms
摘要： This paper presents an efficient system for the detection of suspicious lesions in mammograms. The proposed detection system consists of three steps. In the first step, an efficient pre-processing technique is developed using Top-Hat morphological filter and NL means filter. In the second step, threshold selection procedure is developed using a combination of Fuzzy C-means (FCM), gradient magnitude (GM), and intensity contrast (IC). Finally, computed threshold is used to extract the suspicious lesions in mammograms. The Free Response Operating Characteristics (FROC) curve is used to assess the performance of the proposed system. Proposed system achieved the sensitivity of 93.8% at the rate of 0.51 false positives per image.
关键词： breast cancer,segmentation,computer-aided diagnosis,fuzzy C-means,mammograms
更新于2025-09-23 15:22:29
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Temperature induced two new trinuclear Co(II) cluster-based compounds: Luminescent, photocatalytic and anti-breast cancer properties
摘要： Two new trinuclear Co(II) cluster-based compounds, namely [Co3(L)2(H2O)4]n (1) and [Co1.5(L)(H2O)2]n (2) (H3L=biphenyl-3,4',5-tricarboxylic acid), have been synthesized under hydrothermal conditions via tuning reaction temperature. Single crystal X-ray diffraction analyses revealed that both compound 1 and 2 contain trinuclear Co(II) cluster subunits: trinuclear [Co3(COO)4(H2O)2] cluster for 1 and trinuclear [Co3(COO)6] cluster for 2. Due to the different coordination modes of L3- ligand, compound 1 features a (3,6)-connected 3D framework with a rtl-type topology, and compound 2 features a (3,6)-connected 3D framework with a new topology which has not been reported in the TOPOS and RCSR database. The thermal stabilities and luminescent properties for the two compounds have been investigated. The photophysical properties studies showed that compounds 1 and 2 are excellent candidates as potential semiconductive materials. Moreover, compounds 1 and 2 exhibit high photocatalytic efficiency for the degradation of methylene blue (MB) under UV light irradiation. In addition, the cytotoxicity of complexes 1 and 2 has been evaluated against three human breast cancer cells (MCF-7, MDA-MB-231 and BT-549) via the MTT assay.
关键词： Breast cancer,Photocatalysis,Co(II) compound,Luminescence
更新于2025-09-23 15:22:29
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Development of a Quantitative Estimation of Mammographically Breast Density
摘要： Increased mammographic breast density is a moderate independent risk factor for breast cancer. Assessment of breast density may become useful in risk assessment and prevention decisions. To evaluate the association between mammographic density and breast cancer risk, a simple observer-assisted technique called interactive thresholding was developed. For providing, a quantitative estimation of mammographically dense tissue, in this study computer assisted measurements were carried out using Adobe AIR software. For thresholding technique, software named ‘X-ray Image Analyzer’ was programmed in Adobe AIR language version - Action script 3.0. runtime version- Flash player 9, AIR 1.0, and flash Lite-4. Interactive thresholding technique was applied to digitized film screen mammograms, which assesses the proportion of radio graphically dense tissue representing mammographic density. The technique evaluated for 36 mammograms of 18 women who underwent referral mammography in a hospital at Dhaka city from October 2010 to October 2011. The women in the selected group were in age range of 20 to 60 years, with a mean age of 44±9 and median age is 45 yrs. The technique was found to be very reliable with an intra-class coefficient between observers typically R = 0.887. This technique may have a role in routine mammographic analysis for the purpose of assessing risk categories and as a tool in studies of the etiology of breast cancer, in particular for monitoring changes in breast parenchyma during potential preventive interventions. Conclusion: It is possible to use the interactive segmentation technique for other projections of the breast, such as the medio-lateral oblique view. In this case, however, it is necessary to perform a manual segmentation to remove the image of the pectoral muscle from the analysis. This technique can be employ as a tool in many clinical studies.
关键词： Breast cancer,Quantitative estimation,Mammographic breast density
更新于2025-09-23 15:21:21
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[IEEE 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) - Washington, DC (2017.10.23-2017.10.25)] 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) - A novel low-complexity framework in ultra-wideband imaging for breast cancer detection
摘要： In this research work, a novel framework is proposed as an efficient successor to traditional imaging methods for breast cancer detection in order to decrease the computational complexity. In this framework, the breast is divided into segments in an iterative process and in each iteration, the one having the most probability of containing tumor with lowest possible resolution is selected by using suitable decision metrics. After finding the smallest tumor-containing segment, the resolution is increased in the detected tumor-containing segment, leaving the other parts of the breast image with low resolution. Our framework is applied on the most common used beamforming techniques, such as delay and sum (DAS) and delay multiply and sum (DMAS) and according to simulation results, our framework can decrease the computational complexity significantly for both DAS and DMAS without imposing any degradation on accuracy of basic algorithms. The amount of complexity reduction can be determined manually or automatically based on two proposed methods that are described in this framework.
关键词： breast cancer detection,low complexity computational methods,DAS,DMAS,Microwave imaging
更新于2025-09-23 15:21:21