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» Wavelet Based Automatic Thresholding for Image Segmentation
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JDCTA
2010
226views more  JDCTA 2010»
14 years 8 months ago
An Automatic-Pre-processing Method For Mammographic Images
Screening mammography represents the technique adopted to detect breast cancer at an early stage. However the presence of artifacts and pectoral muscle can disturb the detection o...
Ali Cherif Chaabani, Atef Boujelben, Adel Mahfoudh...
ISBI
2009
IEEE
15 years 8 months ago
A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain
We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does no...
Hae Jong Seo, Peyman Milanfar
ISBI
2008
IEEE
15 years 7 months ago
Morphological-based adaptive segmentation and quantification of cell assays in high content screening
In fluorescence-labelled cell assays for high content screening applications, image processing software is necessary to have automatic algorithms for segmenting the cells individ...
Jesús Angulo, Béatrice Schaack
ICASSP
2011
IEEE
14 years 5 months ago
CYCLOP: A stereo color image quality assessment metric
—In this work, a reduced reference (RR) perceptual quality metric for color stereoscopic images is presented. Given a reference stereo pair of images and their ”distorted” ve...
Aldo Maalouf, Mohamed-Chaker Larabi
TMI
1998
140views more  TMI 1998»
15 years 1 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger