COMPUTER AIDED ANALYSIS OF HISTOPATHOLOGICAL IMAGES FOR FEATURES BASED CANCER DETECTION

dc.contributor.author	Anuranjeeta
dc.date.accessioned	2023-05-30T05:57:14Z
dc.date.available	2023-05-30T05:57:14Z
dc.date.issued	2017
dc.description	This thesis submitted by PhD Scholar IIT(BHU), Varanasi & supervised by Dr. Shiru Sharma & Prof. K.K. Shukla.	en_US
dc.description.abstract	The present thesis is focused on the development of a computer aided diagnosis (CAD) system to investigate the benign and malignant cells using the haematoxylin and eosin stained histopathological images of cancer. Specific tools were used for the identification of cancer: (1) pre-processing, (2) segmentation, (3) feature extraction and (4) classification of histopathological images. It aims to reduce subjectivity in the diagnostic process and assist in making diagnostic decisions more accurate and consistent. Cancer has turned out to be the leading causes of mortality in the world there by creating the need for more awareness globally. Among the developing countries, India suffers leading cause of death from cancer.	en_US
dc.identifier.other	TH471
dc.identifier.uri	https://idr-sdlib.iitbhu.ac.in/handle/123456789/2397
dc.language.iso	en_US	en_US
dc.publisher	IIT(BHU), Varanasi	en_US
dc.rights.license	CC BY-NC-SA 4.0
dc.subject	COMPUTER AIDED	en_US
dc.subject	HISTOPATHOLOGICAL	en_US
dc.subject	CANCER DETECTION	en_US
dc.title	COMPUTER AIDED ANALYSIS OF HISTOPATHOLOGICAL IMAGES FOR FEATURES BASED CANCER DETECTION	en_US
dc.type	Thesis	en_US