Skip to main content

Student volunteer, Aashish B. Katapadi Published in the Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization Journal

Student volunteer, Aashish B. Katapadi (a first year medical student accepted to the medical school at OSU) and Dr. Gurcan have been recently published in the Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization Journal, 2017 edition. Their paper, "Evolving strategies for the development and evaluation of a computerised melanoma image analysis system" discussed the development of such a tool that served as an early detector for the rising incidence of melanoma. In addition, the creation of an analysis classifier was considered for further analysis and the findings were shared within the paper.

The abstract and full paper may be accessed through the following link:
http://www.tandfonline.com/doi/full/10.1080/21681163.2016.1277785

Comments

  1. Truly, In the concise range time span an understudy can't add up to the since a long time back framed work assignments rapidly. As requirements be, an understudy finds the ways to deal with oversee all out made by https://www.personalstatementwriter.org/good-personal-statement-examples-by-our-writers/ confining and the general open who offer the electronic made work advantage help them with diminishing their irritates.

    ReplyDelete
  2. We must keep our whole world clean from any kind of garbage and make assure that our surrounding places are learn more here clean. This share is very helpful that spread awareness among people with effective results. Hope you will share more.

    ReplyDelete
  3. Religious lecture is always good when it reflects the truth. But unfortunately most of the Christian don’t know the real religion. If they know they can convert to Islam I think. you can get more info here.

    ReplyDelete

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

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 developed

Drs. Goceri, Kus, and Senaras Present at OSUMC Research Day

On April 25th, Drs. Goceri, Kus, and Senaras presented their research at the OSUMC Research Day.  Dr. Evgin Goceri presented “Automatic and Robust Segmentation of Liver and Its Vessels from MR Datasets for Pre-Evaluation of Liver Translation” which proposed a robust and fully automated method for segmenting the liver and its vessels from MR images. Dr. Goceri’s study presented a novel approach to reducing processing time by employing binary regularization of the level set function. The fully-automatic segmentation of liver and its vessels with the proposed method was more efficient than manual approach and the other methods in the literature in terms of processing time and accuracy. Dr. Pelin Kus presented “Segmentation and Quantification of Tissue Necrosis in Tuberculosis” which focuses on how the immune system of patients infected with M. tuberculosis responds by using many types of cells including macrophages that form granulomas within the pulmonary tissue. Segmentation a