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Prachi R. Rajarapollu
Vijay R. Mankar



Author(s) and WSEAS

Prachi R. Rajarapollu
Vijay R. Mankar


WSEAS Transactions on Computers


Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 17, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Enhancement of Medical Image Visibility for Cancerous Growth by Development of Fluid-Filter Imaging Technique

AUTHORS: Prachi R. Rajarapollu, Vijay R. Mankar

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ABSTRACT: Colonoscopy is the gold standard intended for discovering intestines cancers; nevertheless, typical colonoscopy can certainly overlook ripped growths. We focused to find out whether or not visual images of intestines ripped lesions ended up being much better by auto fluorescence image resolution as well as narrow-band image resolution graphic evaluation jointly with the latest endoscopy technique. Also, within the last several years, pathology labs began to proceed in the direction of an entirely digital workflow, using the electronic slides currently being the key element of this technique. This is achievable because of the benefits of scanning devices for whole slide imaging (WSI) which allow cost-effective generation of electronic representations of glass slides. Besides lots of benefits regarding storage as well as exploring capabilities with the image information, among the benefits of electronic slides is that they can help the application of image analysis approaches which seek to develop quantitative attributes to assist pathologists in their work. However, WSI also have some difficulties in execution and handling. Hence, such conventional method needs automation. We developed and employed to look for the targeted importance along with uncover the hest-focused graphic position by way of aliasing search method incorporated with new FFI technique

KEYWORDS: Colonoscopy, image resolution, endoscopy, Fluid filter imaging, anti aliasing

REFERENCES:

[1] Subramaniam, Sathya, and Manavalan Radhakrishnan. 'Neural Network with Bee Colony Optimization for MRI Brain Cancer Image Classification.' International Arab Journal of Information Technology (IAJIT) 13.1 (2016).

[2] Jansen, Jacobus FA, et al. 'Evaluation of Head and Neck Tumors with Functional MR Imaging.' Magnetic Resonance Imaging Clinics of North America 24.1 (2016): 123-133.

[3] Schroeder, Malte, et al. 'Sunitinib treatment reduces tumor growth and limits changes in microvascular properties after minor surgical intervention in an in vivo model of secondary breast cancer growth in bone.' Journal of surgical oncology (2016).

[4] Pollanen, Irene, et al. 'Current analysis approaches and performance needs for whole slide image processing in breast cancer diagnostics.' Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2015 International Conference on. IEEE, 2015.

[5] Le Nobin, Julien, et al. 'Image guided focal therapy for magnetic resonance imaging visible prostate cancer: defining a 3-dimensional treatment margin based on magnetic resonance imaging histology co-registration analysis.' The Journal of urology 194.2 (2015): 364-370.

[6] Veta, Mitko, et al. 'Assessment of algorithms for mitosis detection in breast cancer histopathology images.' Medical image analysis 20.1 (2015): 237-248.

[7] Palmieri, Valentina, et al. 'Mechanical and structural comparison between primary tumor and lymph node metastasis cells in colorectal cancer.' Soft matter 11.28 (2015): 5719-5726.

[8] Veta, Mitko, et al. 'Breast cancer histopathology image analysis: A review.' Biomedical Engineering, IEEE Transactions on 61.5 (2014): 1400-1411.

[9] James, Alex Pappachen, and Belur V. Dasarathy. 'Medical image fusion: A survey of the state of the art.' Information Fusion 19 (2014): 4-19.

[10] Martin, Peter R., et al. 'Magnetic resonance imaging-targeted, 3D transrectal ultrasoundguided fusion biopsy for prostate cancer: quantifying the impact of needle delivery error on diagnosis.' Medical physics 41.7 (2014): 073504.

[11] Gerdes, Michael J., et al. 'Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.' Proceedings of the National Academy of Sciences 110.29 (2013): 11982-11987.

[12] Sonn, Geoffrey A., et al. 'Targeted biopsy in the detection of prostate cancer using an office based magnetic resonance ultrasound fusion device.' The Journal of urology 189.1 (2013): 86- 92.

[13] Gheonea, Dan Ionuţ, et al. 'Quantitative low mechanical index contrast-enhanced endoscopic ultrasound for the differential diagnosis of chronic pseudotumoral pancreatitis and pancreatic cancer.' BMC gastroenterology 13.1 (2013): 1.

[14] Tsiotsios, Chourmouzios, and Maria Petrou. 'On the choice of the parameters for anisotropic diffusion in image processing.' Pattern recognition46.5 (2013): 1369-1381

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 17, 2018, Art. #2, pp. 10-17


Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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