MAHER ALBITAR
Physician in Valley Center, CA

License number
California MD06481
Issued Date
Oct 17, 1984
Expiration Date
Jun 30, 2018
Category
Physician
Type
Allopathic Physician (MD)
Address
Address
27165 Kiavo Dr., Valley Center, CA 92082
Phone
(949) 275-7564 (Work)
LicenseFiles verified this license of Apr 7, 2017 at the Rhode Island Department of Health.

Professional information

Maher Albitar Photo 1

Automated Fish Reader Using Learning Machines

US Patent:
2014007, Mar 13, 2014
Filed:
Sep 11, 2013
Appl. No.:
14/024474
Inventors:
Maher Albitar - Valley Center CA, US
Assignee:
NEOGENOMICS LABORATORIES - Fort Myers FL
International Classification:
G06K 9/00
US Classification:
382129
Abstract:
An automated reader for reading fluorescence in-situ hybridization signals includes one or more computer processors for receiving a digitized FISH image and executing the steps of converting colors within the image to a hue value, separately for each color extracting quantitative values to detect the presence of signals corresponding to spots and applying a plurality of algorithms to extract features from the signals to determine cell shapes and segment cells within the FISH image. After recombining the signals, the extracted features for the colors learning machines are used to classify the spots according to the color and separate merged signals of classified spots that are in close proximity to each other within the image. The classified spots are counted to determine relative frequency of colors and a report is generated providing the number of classified spots of each color.

Maher Albitar Photo 2

Computer-Assisted Karyotyping

US Patent:
2014001, Jan 16, 2014
Filed:
Jun 19, 2013
Appl. No.:
13/922184
Inventors:
Maher Albitar - Valley Center CA, US
International Classification:
G06K 9/00
US Classification:
382129
Abstract:
A system and method for computer-assisted karyotyping includes a processor which receives a digitized image of metaphase chromosomes for processing in an image processing module and a classifier module. The image processing module may include a segmenting function for extracting individual chromosome images, a bend correcting function for straightening images of chromosomes that are bent or curved and a feature selection function for distinguishing between chromosome bands. The classifier module, which may be one or more trained kernel-based learning machines, receives the processed image and generates a classification of the image as normal or abnormal.