Breast Cancer Ultrasound Images Analysis & Auto-Segmentation of Lesions

Alam, Minhaj Nur; Islam, Md. Mazharul; Sabit, Rafat Hossain

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dc.contributor.author	Alam, Minhaj Nur
dc.contributor.author	Islam, Md. Mazharul
dc.contributor.author	Sabit, Rafat Hossain
dc.date.accessioned	2021-09-07T09:22:46Z
dc.date.available	2021-09-07T09:22:46Z
dc.date.issued	2013-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/855
dc.description	Supervised by Dr. Kazi Khairul Islam Professor Department of Electrical and Electronic Engineering Islamic University of Technology, Bangladesh	en_US
dc.description.abstract	Breast cancer is the most common cause of death among patients and one of the main reasons is the lesion is not identified in proper time to seek medical facility. The situation is Bangladesh is alarming as there is a huge female population in the rural areas who don’t have proper medical access to detect the early stage of breast cancer. We have developed a Computer Aided Diagnosis (CAD) system that will detect the cancerous lesion in the BUS (breast ultrasound) image automatically. The algorithm can come up with a Region of Interest (ROI), which not only eliminates human intervention but also highly accurate. Entropy information along with a rule based approach called ‘rule of third’ is used to obtain the ROI. For edge detection the algorithm uses external energy filtering and thresholding	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	Ultrasound, Automatic segmentation, ROI, Entropy, Lesion boundary, External energy.	en_US
dc.title	Breast Cancer Ultrasound Images Analysis & Auto-Segmentation of Lesions	en_US
dc.type	Thesis	en_US