Search - breast cancer detection

Search - breast cancer detection - List

[matlab] Breast_cancer_recognition DL : 0: Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.
Update : 2025-02-17 Size : 61kb Publisher : jacxon4
[SCM] breast DL : 0: breast cancer detection using ANN image
Update : 2025-02-17 Size : 131kb Publisher : jocky
[matlab] breast DL : 0: breast edge detection program
Update : 2025-02-17 Size : 779kb Publisher : pandey
[matlab] convolution DL : 0: breast cancer detection
Update : 2025-02-17 Size : 15kb Publisher : pudn123456
[matlab] hagness_IEEETAP_03 DL : 0: 时域波束形成实现早期乳腺肿瘤检测,采用超宽带一阶高斯波-time beamforming for early breast cancer detection by UWB
Update : 2025-02-17 Size : 782kb Publisher : 徐立
[Software Engineering] MITAT-boshi DL : 0: 一篇关于乳腺癌早期检测的微波热致成像技术的研究论文，博士论文定稿-An early detection of breast cancer caused by microwave thermal imaging technology, research papers, thesis final
Update : 2025-02-17 Size : 3.01mb Publisher : 小他
[Software Engineering] MITAT-xitong DL : 0: 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文-An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
Update : 2025-02-17 Size : 500kb Publisher : 小他
[Software Engineering] MITAT-yuanxing DL : 0: 一篇关于乳腺癌早期检测的微波热致成像技术的硬件系统研究论文 -An early detection of breast cancer caused by microwave thermal imaging technology hardware research papers
Update : 2025-02-17 Size : 1.18mb Publisher : 小他
[Bio-Recognize] Final_Report DL : 0: document for breast cancer detection
Update : 2025-02-17 Size : 1.05mb Publisher : ujin
[Bio-Recognize] EJSR_72_3_04 DL : 0: Breast cancer is the second most common cause of cancer death in women. Early detection is the only way to reduce the mortality. Mammography is the best available technique used for earlier detection. But due to manual reading the performance of diagnosis varies from 65 to 85 -Breast cancer is the second most common cause of cancer death in women. Early detection is the only way to reduce the mortality. Mammography is the best available technique used for earlier detection. But due to manual reading the performance of diagnosis varies from 65 to 85
Update : 2025-02-17 Size : 234kb Publisher : Divya Hiremath
[Industry research] experimental-work DL : 0: Research work on breast cancer detection by microwave technology.
Update : 2025-02-17 Size : 357kb Publisher : janjua
[Remote Control] Microwave DL : 0: Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measurement noises experienced when applying these two techniques are independent, we propose a methodology to process the input signals jointly based on a hypothesis testing framework. We present two test statistics and derive their distributions to set the thresholds. The methodology is evaluated on numerically simulated signals acquired from 2-D numerical breast models using finite-difference time-domain method. Our results show that the proposed dual-modality approach can give a significant improvement in detection performance.
Update : 2025-02-17 Size : 9kb Publisher :
[Industry research] 1482-3311-1-SM DL : 0: Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.
Update : 2025-02-17 Size : 399kb Publisher : yokool
[Industry research] 3285-30367-2-PB DL : 0: In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adversely affect the outcome of cancer detection processes. Through this study, we propose an efficient automatic method using the watershed transformation for identifying the pectoral muscle in mediolateral oblique view mammograms. The watershed transformation of the mammogram shows interesting properties that include the appearance of a unique watershed line corresponding to the pectoral muscle edge. In addition to this, it is observed that the pectoral muscle region is oversegmented due to the existence of several catchment basins within the pectoral muscle
Update : 2025-02-17 Size : 1.13mb Publisher : yokool
[matlab] Mammogram-breast-cancer-image-detection DL : 0: Mammogram breast cancer image detection MATLAB File
Update : 2025-02-17 Size : 24kb Publisher : haniyeh
[matlab] breast-segmentation DL : 0: breast cancer detection
Update : 2025-02-17 Size : 1.28mb Publisher : dileepkumartkbh
[matlab] MATLAB-breast-cancer-detection DL : 1: breast cancer detection matlab- breast cancer detection matlab
Update : 2025-02-17 Size : 22kb Publisher : mina
[Other] breast_cancer_classification DL : 0: Breast cancer detection using matlab
Update : 2025-02-17 Size : 32kb Publisher : dkite
[Speech/Voice recognition/combine] amit DL : 0: feature extraction code for breast cancer detection
Update : 2025-02-17 Size : 3kb Publisher : dkite
[Program doc] antenna book DL : 1: antenna paper for breast cancer detection
Update : 2025-02-17 Size : 4.44mb Publisher : ghorbani