Skip to main content

A New Way to Look at an Old Disease

CIA Lab Researchers, in collaboration with the Department of Infectious Disease and Global Health, Tufts University in Grafton, Massachusetts, have developed a novel platform to analyze tuberculosis histopathology. 

The recent publication, "Detecting and Characterizing Cellular Responses to Mycobacterium Tuberculosis from Histology Slides” by Niazi, Beamer, and Gurcan, details a new method to identify and characterize granulomas and lymphocytic cuffs in Mycobacterium tuberculosis infected lungs. The framework, DeHiDe, used an internuclei geodesic distance calculation to detect the high cell density regions at 99.39% accuracy compared to the pathologist and to classify the regions at 90.87% accuracy.  The full text will be published in the February 2014 edition of Cytometry A.


One third of the world's population is thought to have been infected with tuberculosis causing bacteria, and there are an estimated 14 million active chronic cases all over the world. 

Comments

Post a Comment

Popular posts from this blog

CIALAB encouraging talented young minds with summer internships

CIALAB is pleased to introduce the three interns namely Tong Gan, Rosana Rodriguez Milanes and Michael Priddy working through summer’09. Rosana Rodriguez Milanes - I am a third year undergraduate student in Electronic Engineering from Universidad del Norte, Colombia. My experience as a volunteer foreign student in the Clinical Image Analysis Laboratory has been an edifying, gratifying and enriching. Being able to participate, to learn and to collaborate in the Clinical Image Analysis Laboratory during the past two weeks has allowed me to improve my analytical and interpretative skills in processing histopathological and MRI images. I have been able to learn about segmentation, region growing, splitting and merging algorithms development. I have also had the privilege of knowing and interacting with excellent engineers who have helped me improve my skills as a foreign student. I am grateful for the opportunity that the Ohio State University has given me to collaborate and to learn with...
1 comment
Read more

Recent publications

The CIA lab has recently had 4 articles published in PLOS One and the Journal of Urology. Automated Staging Of T1 Bladder Cancer Using Digital Pathologic H&E Images: A Deep Learning approach (Journal of Urology). The paper discusses the need for accurately gauging tumor cell intrusion into Lamina Propria in an effort to substage bladder cancer. It explains how transfer learning in conjunction with Convolutional Neural Networks can be used to accurately identify different bladder layers and then compute the distance between tumor nuclei and Lamina Propria. The article is available here:  https://www.jurology.com/article/S0022-5347(18)41148-2/pdf Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning (PLOS One). This paper examines a proposed methodology to automatically differentiate between NET and non-tumor regions based on images of Ki67 stained biopsies. It also uses transfer learning to exploit a rich set of features ...
6 comments
Read more

CIALAB has moved to Wake Forest

The Clinical Image Analysis Lab (CIALAB) that was started by Dr. Metin Gurcan in 2005 at the Ohio State University has moved to Wake Forest School of Medicine. The new lab at Wake Forest will retain its name, but its web page will now be located at : http://tsi.wakehealth.edu/CIALab/   Dr. Gurcan was recruited as the inaugural Director of the Center for Biomedical Informatics at Wake Forest School of Medicine. The newly established Center will strengthen Wake Forest’s infrastructures for informatics research in genomics, imaging, healthcare delivery, and population health and support the informatics needs of other research centers. In so doing, the Center will promote Wake Forest Baptist Health's evolution as a learning health care system. A further goal of the Center is to train the next generation of investigators in the principles and practice of biomedical informatics.   The CIALab has been one of the leading research labs in the world and known for its innovative and ...
3 comments
Read more