You searched on: Author: alden dima
Displaying records 11 to 20 of 24 records.
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11. Image Classification of Vascular Smooth Muscle Cells
Michael Grasso, Ronil Mokashi , Alden A Dima, Antonio Cardone, Kiran Bhadriraju, Anne L Plant, Mary C Brady, Yaacov Yesha, Yelena Yesha
The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system ...
12. Overlap-Based Cell Tracker
NIST Interagency/Internal Report (NISTIR)
Joe Chalfoun, Antonio Cardone, Alden A Dima, Michael W Halter, Daniel P Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by NIST. Th ...
13. A Quality Pre-Processor for Biological Cell Images
Adele P Peskin, Karen Kafadar, Alden A Dima
We have developed a method to rapidly test the quality of a biological image, to identify appropriate segmentation methods, if any, that will render high quality segmentations for the cells within that image. The key contribution is the development o ...
14. Modeling Clinical Tumors to Create Standardized Data for Tumor Volume Measurement
Adele P Peskin, Alden A Dima
Expanding on our previously developed method for inserting synthetic objects into clinical computerized tomographic (CT) data, we model a set of eight clinical tumors that span a range of geometries and locations within the lung. The goal is to creat ...
15. Synthetic Lung Tumor Data Sets
for Comparison of Volumetric Algorithms
Adele P Peskin, Alden A Dima, Javier Bernal, David E. Gilsinn, Karen Kafadar
The change in pulmonary nodules over time is an important indicator of malignant tumors. It is therefore
important to be able to measure change in the size of tumors from computed tomography (CT) data taken
at different times and on potentially dif ...
16. A New Protocol for Semi-Automatic Generation of Reference Data for High Resolution Biological Images
Adele P Peskin, Joe Chalfoun, Alden A Dima, James J Filliben
We compare manually segmented masks of cell images that are independently hand-selected by several different people, with a new semi-automated method for estimating reference data for images of cells with very sharp clear edges. By quantifying the la ...
17. A Win32-based Technique for Finding and Hashing NTFS Alternate Data Streams
Alden A Dima
As part of an effort to create new datasets for the computer forensic community, the National Software Reference Library created a simple Windows specific tool for internal use similar to md5deep, which is able to recursively walk an NTFS file syste ...
18. Using Intelligent Agents to Assess Pervasive Computing Technologies
L P Ciarletta, Alden A Dima, V P Iordanov
Pervasive Computing (a.k.a. Ubiquitous or Ambient Computing) is a new field of computer science generally considered to lie at the intersection of desktop computing, networking, and embedded systems. Related to pervasive computing are Intelligent Env ...
19. The Case for Simulation-Based Evaluation of Ubiquitous Computing Environments
Alden A Dima, L P Clarletta
Ubiquitous computing (a.k.a. pervasive computing) is ill-defined due to its novelty and the community's current emphasis on its technological aspects. This can lead to serious \existential issues during the evaluation of ubiquitous computing technolo ...
20. A Conceptual Model for Pervasive Computing
L P Ciarletta, Alden A Dima
As an emerging field, pervasive computing has not had the opportunity to develop a conceptual model similar to the OSI Reference Model used to describe computer networks. Such a model would be useful to properly classify issues raised during discussi ...