A Complete Breast Cancer Detection Approach Via Quantitative and Qualitative Analysis of Breast Ultrasound (BUS) Images

Shamim, AMK Muntasir; Enayet, Mohmmad Ebne; Abir, Ehsan

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dc.contributor.author	Shamim, AMK Muntasir
dc.contributor.author	Enayet, Mohmmad Ebne
dc.contributor.author	Abir, Ehsan
dc.date.accessioned	2020-11-01T17:33:04Z
dc.date.available	2020-11-01T17:33:04Z
dc.date.issued	2018-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/642
dc.description	Supervised by Prof. Dr. Md Ruhul Amin	en_US
dc.description.abstract	Globally, cancer is becoming a major health issue as advances in modern medicine continue to extend the human life span. In the U.S., cancer is the second most-common cause of death, exceeded only by heart disease and accounting for nearly one of every four deaths. Breast cancer ranks second as a cause of cancer death in women (after lung cancer). Thus, early detection and treatment are critical in reducing breast cancer related mortality. Working with Breast ultrasound (BUS) data or image is regarded as a challenging task due to the inherent nature of ultrasound imaging. Ultrasound imaging is characterized by speckle patterns, anisotropy and signal drop-out. Moreover, proper image acquisition techniques by the clinicians and their level of expertise also play a dominant role in determining the image quality. The fuzziness in the shape and boundaries of the breast lesions make it very difficult to automate the segmentation of BUS images. In order to improve the issues prevalent in the existing approaches, a complete qualitative and quantitative analysis of Breast ultrasound (BUS) images is proposed in this thesis. The method involves three steps – (a) Strain imaging by means of strain estimation, (b) Final Segmentation of the detected lesion and (c) Quantitative analysis of the lesion.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Mechanical and Production Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh	en_US
dc.title	A Complete Breast Cancer Detection Approach Via Quantitative and Qualitative Analysis of Breast Ultrasound (BUS) Images	en_US
dc.type	Thesis	en_US