Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images
نویسندگان
چکیده
منابع مشابه
Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images
The introduction of fast digital slide scanners that provide whole slide images has led to a revival of interest in image analysis applications in pathology. Segmentation of cells and nuclei is an important first step towards automatic analysis of digitized microscopy images. We therefore developed an automated nuclei segmentation method that works with hematoxylin and eosin (H&E) stained breas...
متن کاملAutomated Segmentation of Nuclei in Breast Cancer Histopathology Images
The process of Nuclei detection in high-grade breast cancer images is quite challenging in the case of image processing techniques due to certain heterogeneous characteristics of cancer nuclei such as enlarged and irregularly shaped nuclei, highly coarse chromatin marginalized to the nuclei periphery and visible nucleoli. Recent reviews state that existing techniques show appreciable segmentati...
متن کاملNew breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images
Computer-aided image analysis (CAI) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology images and provide potentially useful prognostic information on breast cancer. We performed a CAI workflow on 1,150 HE images from 230 patients with invasive ductal carcinoma (IDC) of the breast. We used a pixel-wise support vector machine classifier for tumor nests (T...
متن کاملColor Based Segmentation of Nuclear Stained Breast Cancer Cell Images
We present an algorithm for segmenting cells in a microscopic image of immunohistologically stained slides from breast cancer based on color contents. The procedure for the approach consists of color categorization using neural network, noise removal and shape simplification using mathematical morphology, and cell size consideration. In order to obtain the more accurate segmentation, we further...
متن کاملCase Report: Effects of Image Compression on Automatic Count of Immunohistochemically Stained Nuclei in Digital Images
This study investigates the effects of digital image compression on automatic quantification of immunohistochemical nuclear markers. We examined 188 images with a previously validated computer-assisted analysis system. A first group was composed of 47 images captured in TIFF format, and other three contained the same images converted from TIFF to JPEG format with 3x, 23x and 46x compression. Co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2013
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0070221