Tanveer, M. Asjid and Nawaz, Wajahat and Rashid, Haroon and Kiyani, Amber and Khurram, Syed Ali and Khan, Hassan Aqeel (2019) Cancer Image Quantification With And Without, Expensive Whole Slide Imaging Scanners. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Full text not available from this repository.Abstract
Automated analysis of digitized pathology images in tele-health applications can have a transformative impact on under-served communities in the developing world. However, the vast majority of existing image analysis algorithms are trained on slide images acquired via expensive Whole-SlideImaging (WSI) scanners. High scanner cost is a key bottleneck preventing large-scale adoption of digital pathology in developing countries. In this work, we investigate the viability of automated analysis of slide images captured from the eyepiece of a microscope via a smart phone. The mitosis detection application is considered as a use case. Results indicate performance degradation when using (lowerquality) smartphone images; as expected. However, the performance gap is not too wide (F1-score smartphone=0.65, F1-score WSI=0.70) demonstrating that smartphones could potentially be employed as image acquisition devices for digital pathology at locations where expensive scanners are not available.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | R Medicine > RK Dentistry |
| Divisions: | Faculty of Health and Medical Sciences (FHMS) > Islamic International Dental College Islamabad |
| Depositing User: | Dr Kanwal Sohail |
| Date Deposited: | 09 Mar 2020 07:33 |
| Last Modified: | 09 Mar 2020 07:33 |
| URI: | http://research.riphah.edu.pk/id/eprint/275 |
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