Arwa Shana'ah

Publication Activity (10 Years)

Years Active: 2010-2019
Publications (10 Years): 4

Top Topics

Adaptive Thresholding

Microscopy Images

Top Venues

Medical Imaging: Digital Pathology

BMC Medical Informatics Decis. Mak.

Publications

Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Medical Imaging: Digital Pathology (2019)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Medical Imaging: Digital Pathology (2018)
Çaglar Senaras, Michael Pennell, W. Chen, Berkman Sahiner, Arwa Shana'ah, A. Louissaint, R. P. Hasserjian, Gerard Lozanski, Metin Nafi Gürcan
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Medical Imaging: Digital Pathology (2017)
Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana'ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski, Metin N. Gurcan
Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 15 (2015)
M. Khalid Khan Niazi, Michael Pennell, Camille Elkins, Jessica Hemminger, Ming Jin, Sean Kirby, Habibe Kurt, Barrie Miller, Elizabeth Plocharczyk, Rachel Roth, Rebecca Ziegler, Arwa Shana'ah, Fred Racke, Gerard Lozanski, Metin N. Gurcan
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. Medical Imaging: Digital Pathology (2013)
Kamel Belkacem-Boussaid, Michael Pennell, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan
Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases. ISBI (2010)
Olcay Sertel, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan
Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation. IEEE Trans. Biomed. Eng. 57 (10) (2010)