Search Results for author:
Found 7 papers, 1 papers with code
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment
Our method has been trained and validated on a multi-ethnic, multi-institutional dataset of 15, 661 images (4, 437 women), and then tested on an independent dataset of 6, 368 digital mammograms (1, 702 women; cases=414) for both PD estimation and discrimination of breast cancer.
Application of Superpixels to Segment Several Landmarks in Running Rodents
We used a simple merging function to connect the segmented regions considered as neighbor and having the same intensity value range.
Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy
The total sensitivity for tracking of the front and hind paw is 99. 70% using the SVM classifier and 99. 76% using the NN classifier.
3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies
The method is evaluated for different difficulties for tracking of the markers and it achieves 95% correct labeling of markers.
Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy
Wireless Capsule Endoscopy (WCE) is relatively a new technology to examine the entire GI trace.
Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy
Here, the application of simple linear iterative clustering (SLIC) superpixel for segmentation of polyps in WCE frames is evaluated.
Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent Biomechanics Application
Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment.
