News

Tue, 2016-11-08 11:11
Five abstracts accepted for USCAP
Tuesday, November 8, 2016 - 11:11

Five abstracts from CCIPD have been accepted for USCAP's 106th Annual Meeting. The meeting will be held in San Antonio, TX from March 4th to 10th, 2017.

The following are the abstracts that have been selected

  • “Deep Learning Automated Segmentation of Tumor Infiltrating Lymphocytes in Breast Cancer Specimens”

  • “Deep Learning Classifier to Predict Cardiac Failure from Whole-Slide H&E Images”

  • “Computerized Density Estimation of Tumor-Infiltrating Lymphocyte in H&E TMAs Predicts Recurrence in Early Stage Non-Small Cell Lung Cancer”

  • “Computer Extracted Features of Nuclear Architecture in H&E Sectionsare Predictive of Disease Specific Survival Inoral Cavity Squamous Cell Carcinoma Patients”

  • “Identifying the Histomorphometric Basis of MRI Radiomic Features in Distinguishing Gleason Grades of Prostate Cancer”

 

Fri, 2016-11-04 10:11
New patent issued to CCIPD/BrIC labs
Friday, November 4, 2016 - 10:11

 

US Patent US 9,483,822 "CO-OCCURRENCE OF LOCAL ANISOTROPIC GRADIENT ORIENTATIONS" has been issued with Co-inventors Anant Madabhushi, Prateek Prasanna and Pallavi Tiwari.
 
Abstract of the invention is as follows:-
 
Methods, apparatus, and other embodiments associated with distinguishing disease phenotypes using co-occurrence of local anisotropic gradient orientations (CoLIAGe) are described. One example apparatus includes a set of logics that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating disease pathology (e.g., cancer), computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, and classifies the phenotype of the disease pathology based on the feature vector. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image.

US Patent US 9,483,822 "CO-OCCURRENCE OF LOCAL ANISOTROPIC GRADIENT ORIENTATIONS" has been issued with Co-inventors Anant Madabhushi, Prateek Prasanna and Pallavi Tiwari.
 
Abstract of the invention is as follows:-
 
Methods, apparatus, and other embodiments associated with distinguishing disease phenotypes using co-occurrence of local anisotropic gradient orientations (CoLIAGe) are described. One example apparatus includes a set of logics that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating disease pathology (e.g., cancer), computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, and classifies the phenotype of the disease pathology based on the feature vector. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image.

Thu, 2016-11-03 16:21
NSF covers Neuroradvision in the science digest- Science Now
Thursday, November 3, 2016 - 16:21

Neuroradvision was highlighted in Science Now- The science digest of NSF.

Watch the video here (starts at 2:35 minutes)

Mon, 2016-10-10 16:19
Update on SPIE 2017
Monday, October 10, 2016 - 16:19

Niha Beig, a graduate student at CCIPd, will be presenting a paper on radiogenomics of brain tumors in SPIE 2017. Her paper has been selected as an oral talk.