A Windows Mobile Based Application for Detection of Cancer in Squamous Cell

Alhad Kuwadekar; Y Karunakar; K Narayanan

doi:10.1109/NGMAST.2010.16

A Windows Mobile Based Application for Detection of Cancer in Squamous Cell

Alhad Kuwadekar, Y Karunakar, K Narayanan

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Pathological labs use manual method for detection of cancer cells recognition and techniques which are languorous for cell counting. This paper presents automatic cancer cell detection for squamous epithelia in window based applications in mobile phones and PDAs. The algorithm preprocesses the images to remove the graininess, enhance the contrast between the cytoplasm and nucleus and extra cellular components. After preprocessing steps Fourier transform analysis is done to organize the images. Averaging is done to reduce the noise in Fourier image and a 1-D line plot is done so that the cancerous tissue can be differentiated by the machine. Subsequently, the segmentation algorithm based on Otsu's threshold, morphological operations, and cell size considerations is performed. Biologists can now prepare and image thousands of samples per day using this automation.

Original language	English
Title of host publication	N/A
Pages	19-24
DOIs	https://doi.org/10.1109/NGMAST.2010.16
Publication status	Published - 27 Jul 2010
Event	2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) - Amman, Jordan Duration: 27 Jul 2010 → 29 Jul 2010

Conference

Conference	2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)
Period	27/07/10 → 29/07/10

Keywords

cancer detection
squamous cell
windows mobile application

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/NGMAST.2010.16

Cite this

@inproceedings{8355f4df8f20442fbb28115bedf098e9,

title = "A Windows Mobile Based Application for Detection of Cancer in Squamous Cell",

abstract = "Pathological labs use manual method for detection of cancer cells recognition and techniques which are languorous for cell counting. This paper presents automatic cancer cell detection for squamous epithelia in window based applications in mobile phones and PDAs. The algorithm preprocesses the images to remove the graininess, enhance the contrast between the cytoplasm and nucleus and extra cellular components. After preprocessing steps Fourier transform analysis is done to organize the images. Averaging is done to reduce the noise in Fourier image and a 1-D line plot is done so that the cancerous tissue can be differentiated by the machine. Subsequently, the segmentation algorithm based on Otsu's threshold, morphological operations, and cell size considerations is performed. Biologists can now prepare and image thousands of samples per day using this automation.",

keywords = "cancer detection, squamous cell, windows mobile application",

author = "Alhad Kuwadekar and Y Karunakar and K Narayanan",

year = "2010",

month = jul,

day = "27",

doi = "10.1109/NGMAST.2010.16",

language = "English",

pages = "19--24",

booktitle = "N/A",

note = " 2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) ; Conference date: 27-07-2010 Through 29-07-2010",

}

TY - GEN

T1 - A Windows Mobile Based Application for Detection of Cancer in Squamous Cell

AU - Kuwadekar, Alhad

AU - Karunakar, Y

AU - Narayanan, K

PY - 2010/7/27

Y1 - 2010/7/27

N2 - Pathological labs use manual method for detection of cancer cells recognition and techniques which are languorous for cell counting. This paper presents automatic cancer cell detection for squamous epithelia in window based applications in mobile phones and PDAs. The algorithm preprocesses the images to remove the graininess, enhance the contrast between the cytoplasm and nucleus and extra cellular components. After preprocessing steps Fourier transform analysis is done to organize the images. Averaging is done to reduce the noise in Fourier image and a 1-D line plot is done so that the cancerous tissue can be differentiated by the machine. Subsequently, the segmentation algorithm based on Otsu's threshold, morphological operations, and cell size considerations is performed. Biologists can now prepare and image thousands of samples per day using this automation.

AB - Pathological labs use manual method for detection of cancer cells recognition and techniques which are languorous for cell counting. This paper presents automatic cancer cell detection for squamous epithelia in window based applications in mobile phones and PDAs. The algorithm preprocesses the images to remove the graininess, enhance the contrast between the cytoplasm and nucleus and extra cellular components. After preprocessing steps Fourier transform analysis is done to organize the images. Averaging is done to reduce the noise in Fourier image and a 1-D line plot is done so that the cancerous tissue can be differentiated by the machine. Subsequently, the segmentation algorithm based on Otsu's threshold, morphological operations, and cell size considerations is performed. Biologists can now prepare and image thousands of samples per day using this automation.

KW - cancer detection

KW - squamous cell

KW - windows mobile application

U2 - 10.1109/NGMAST.2010.16

DO - 10.1109/NGMAST.2010.16

M3 - Conference contribution

SP - 19

EP - 24

BT - N/A

T2 - 2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)

Y2 - 27 July 2010 through 29 July 2010

ER -

A Windows Mobile Based Application for Detection of Cancer in Squamous Cell

Abstract

Conference

Keywords

UN SDGs

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