Detection of breast cancer by soft-copy reading of digital mammograms: Comparison between a routine image-processing parameter and high-contrast parameters

Breast cancer is one of the main causes of women’s death. Thermal breast imaging is one the non-invasive method for cancer at early stage diagnosis. In contrast to mammography this method is cheap and painless and it can be used during pregnancy while ionized beams are not used. Specialists are seeking new ways to diagnose the cancer in early stages. Segmentation of the breast tissue is one of the most indispensable stages in most of the cancer diagnosis methods. By the advancement of infrared precise cameras, new and fast computers and nouvelle image processing approaches, it is feasible to use thermal imaging for diagnosis of breast cancer at early stages. Since the breast form is different in individuals, image segmentation is a hard task and semi-automatic or manual methods are usual in investigations. In this research the image data base of DMR-IR has been utilized and a now automatic approach has been proposed which does not need learning. Data were included 159 gray images used by dynamic protocol (132 healthy and 27 patients). In this study, by combination of different image processing methods, the segmentation of thermal images of the breast tissues have been completed automatically and results show the proper performance of recommended method.

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1–15 Screen-Film Mammography Versus Full-Field Digital Mammography With Soft-Copy Reading: Randomized Trial in a Population-Based Screening Program—The Oslo II Study

Breast Diseases A Year Book Quarterly ◽

10.1016/s1043-321x(05)80028-1 ◽

2005 ◽

Vol 16 (1) ◽

pp. 44-45

Author(s):

C.J. D'Orsi

Keyword(s):

Randomized Trial ◽

Digital Mammography ◽

Screening Program ◽

Population Based ◽

Full Field ◽

Soft Copy Reading ◽

Full Field Digital Mammography ◽

Soft Copy

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BACK TO BASICS: TOWARDS NOVEL COMPUTATION AND ARRANGEMENT OF SPATIAL SENSORY IN IMAGES

Acta Polytechnica ◽

10.14311/ap.2016.56.0409 ◽

2016 ◽

Vol 56 (5) ◽

pp. 409-416 ◽

Cited By ~ 5

Author(s):

Wei Wen ◽

Siamak Khatibi

Keyword(s):

Image Processing ◽

Sensor Array ◽

Fill Factor ◽

Spatial Arrangement ◽

Optimal Sampling ◽

High Contrast ◽

Visual Spatial ◽

Hexagonal Form ◽

Sensor Resolution ◽

Hexagonal Image Processing

The current camera has made a huge progress in the sensor resolution and the lowluminance performance. However, we are still far from having an optimal camera as powerful as our eye is. The study of the evolution process of our visual system indicates attention to two major issues: the form and the density of the sensor. High contrast and optimal sampling properties of our visual spatial arrangement are related directly to the densely hexagonal form. In this paper, we propose a novel software-based method to create images on a compact dense hexagonal grid, derived from a simulated square sensor array by a virtual increase of the fill factor and a half a pixel shifting. After that, the orbit functions are proposed for a hexagonal image processing. The results show it is possible to achieve an image processing in the orbit domain and the generated hexagonal images are superior, in detection of curvature edges, to the square images. We believe that the orbit domain image processing has a great potential to be the standard processing for hexagonal images.

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