Prof. Metin N. Gurcan
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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Academic Career Length
31Years (1996-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications30 October 2009 in IEEE Reviews in Biomedical Engineering
Journal Article
Metin N. GurcanLBLaura Boucheron
Laura BoucheronACAli Can
Ali Can
Anant MadabhushiNRNasir Rajpoot
Nasir RajpootBYBulent Yener
Bulent YenerOver the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement the opinion of the pathologist. In this paper, we review the recent state of the art CAD technology for digitized histopathology. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe.
1 May 2019 in The Lancet Oncology
Journal Article
MNMuhammad Khalid Khan Niazi
Muhammad Khalid Khan NiaziAPAnil V Parwani
Anil V Parwani
Metin N. Gurcan22 October 2009 in Nature
Journal Article
ATAnthony J. Trimboli
Anthony J. Trimboli
CCCarmen Z. Cantemir-Stone
Carmen Z. Cantemir-Stone
FLFu Li
Fu Li
JWJulie A. Wallace
Julie A. Wallace
AMAnand Merchant
Anand Merchant
GLGustavo Leone
Gustavo Leone +21
The tumour stroma is believed to contribute to some of the most malignant characteristics of epithelial tumours. However, signalling between stromal and tumour cells is complex and remains poorly understood. Here we show that the genetic inactivation of Pten in stromal fibroblasts of mouse mammary glands accelerated the initiation, progression and malignant transformation of mammary epithelial tumours. This was associated with the massive remodelling of the extracellular matrix (ECM), innate immune cell infiltration and increased angiogenesis. Loss of Pten in stromal fibroblasts led to increased expression, phosphorylation (T72) and recruitment of Ets2 to target promoters known to be involved in these processes. Remarkably, Ets2 inactivation in Pten stroma-deleted tumours ameliorated disruption of the tumour microenvironment and was sufficient to decrease tumour growth and progression. Global gene expression profiling of mammary stromal cells identified a Pten-specific signature that was highly represented in the tumour stroma of patients with breast cancer. These findings identify the Pten–Ets2 axis as a critical stroma-specific signalling pathway that suppresses mammary epithelial tumours.
1 February 2019 in The Lancet Oncology
Journal Article
XLXiangchun Li
Xiangchun LiSZSheng Zhang
Sheng Zhang
QZQiang Zhang
Qiang Zhang
XWXi Wei
Xi Wei
YPYi Pan
Yi Pan
KCKexin Chen
Kexin Chen +19
23 October 2002 in Medical Physics
Journal Article
Metin N. GurcanBSBerkman Sahiner
Berkman SahinerNPNicholas Petrick
Nicholas Petrick
HCHeang‐Ping Chan
Heang‐Ping ChanEKElla A. Kazerooni
Ella A. Kazerooni
Lubomir Hadjiyski +1
1 June 2009 in Pattern Recognition
Journal Article
OSO. Sertel
O. SertelJKJ. Kong
J. Kong
HSH. Shimada
H. Shimada
UCU.V. Catalyurek
U.V. CatalyurekJSJ.H. Saltz
J.H. Saltz
Metin N. GurcanAbout Me
Dr. Metin Gurcan is Senior Associate Dean for Artificial Intelligence, the founding Director of the Center for Artificial Intelligence Research, Professor of Internal Medicine, Pathology, and Biomedical Engineering at Wake Forest University School of Medicine, and Director of the Clinical Image Analysis Lab (https://school.wakehealth.edu/research/labs/clinical-image-analysis-lab). Previously, he was the founding director of the Center for Biomedical Informatics at Wake Forest University School of Medicine. Dr. Gurcan received his BSc. and Ph.D. in Electrical and Electronics Engineering from Bilkent University, Turkey, and his MSc. in Digital Systems Engineering from the University of Manchester Institute of Science and Technology, England. Dr. Gurcan is the recipient of several awards, including the British Foreign and Commonwealth Organization Award, NCI caBIG Embodying the Vision Award, NIH Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA) Award, Children’s Neuroblastoma Cancer Foundation Young Investigator Award, The OSU Cancer Center REAP Award, and Pelotonia Idea Award. He serves on the editorial boards of the Journal of Pathology Informatics, BJR | Artificial Intelligence, and SPIE Journal of Medical Imaging. He has organized the Pathology Informatics Histopathological Image Analysis (HIMA) workshop since 2013.