Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6891045 | Computer Methods and Programs in Biomedicine | 2018 | 34 Pages |
Abstract
This paper presents a standalone system built on machine learning techniques for cancer screening based on cell gestures. The system offers rapid, efficient, and novel identification of hGBM brain tumor cells and can be extended to define single cell analysis metrics for many other types of tumor cells.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Mohammad R. Hasan, Naeemul Hassan, Rayan Khan, Young-Tae Kim, Samir M. Iqbal,