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» Detection of Fundus Lesions Using Classifier Selection
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IDEAL
2005
Springer
13 years 10 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
CVPR
2006
IEEE
14 years 7 months ago
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detect...
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri,...
ISBI
2002
IEEE
14 years 5 months ago
Classifying convex sets for vessel detection in retinal images
We present a method to detect vessels in images of the retina. Instead of relying on pixel classification, as many detection algorithms do, we propose a more natural representatio...
Joes Staal, Stiliyan Kalitzin, Michael D. Abr&agra...
CVPR
2011
IEEE
12 years 9 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
ICPR
2010
IEEE
13 years 9 months ago
Vessel Bend-Based Cup Segmentation in Retinal Images
In this paper, we present a method for cup boundary detection from monocular colour fundus image to help quantify cup changes. The method is based on anatomical evidence such as v...
Gopal Datt Joshi, Jayanthi Sivaswamy, Kundan Karan...