Detection of Tumor in Mammograms Using Canny Edge Detection Technique

Shrivastava, Pratishtha; Kirar, K.G.

doi:10.14445/22315381/ijett-v14p242

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2018

2024

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Cited by 2 publications

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“…In this proposed work identifies tumor level based on the pixel count as well as it also detects the tumor in the earlier stage itself. PratishthaShrivastava and Kirar [33] Detection of Tumor in mammogram images using Canny Edge Detection Technique…”

Section: Windows Mean and Standard Deviationmentioning

confidence: 99%

Image Processing For Identification of Breast Cancer: A Literature Survey

Arokiyamary Delphina,

Kamarasan,

S. Sathiamoorthy

2018

AJES

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Breast cancer has become the leading cause of cancer deaths among women. To decrease the related mortality, disease must be treated as early as possible, but it is hard to detect and diagnose tumors at an early stage. Manual attempt have proven to be time consuming and inefficient in many cases. Hence there is a need for efficient methods that diagnoses the cancerous cell without human involvement with high accuracy. Mammography is a special case of CT scan who adopts X-ray method & uses the high resolution film so that it can detect well the tumors in the breast. This paper reviews on the detection of the breast cancer by image processing techniques.

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Section: Windows Mean and Standard Deviationmentioning

confidence: 99%