Deep learning based hand wrist segmentation using mask R-CNN
Joint Authors
Elumalai, Gokula Krishnan
Ganesan, Malathi
Source
The International Arab Journal of Information Technology
Issue
Vol. 19, Issue 5 (30 Sep. 2022), pp.785-792, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2022-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Deep learning is one of the trending technologies in computer vision to identify and classify objects.
Deep learning is a subset of Machine Learning and Artificial Intelligence.
Detecting and classifying the object was a challenging task in traditional computer vision techniques, and now there are numerous deep learning techniques scaled up to achieve this.
The primary purpose of the research is to detect and segment the human hand wrist region using deep learning methods.
This research is widespread to deep learning enthusiasts who needs to segment custom objects using instance segmentation.
We demonstrated a segmented hand wrist using the Mask Regional Convolutional Neural Network (R-CNN) technique with an average accuracy of 99.73%.
This work also compares the performance evaluation of baseline and custom Hand Wrist Mask R-CNN.
The achieved validation class loss is 0.00866 training and 0.02736 validation; both the values are comparatively deficient compared with baseline Mask R-CNN.
American Psychological Association (APA)
Elumalai, Gokula Krishnan& Ganesan, Malathi. 2022. Deep learning based hand wrist segmentation using mask R-CNN. The International Arab Journal of Information Technology،Vol. 19, no. 5, pp.785-792.
https://search.emarefa.net/detail/BIM-1437085
Modern Language Association (MLA)
Elumalai, Gokula Krishnan& Ganesan, Malathi. Deep learning based hand wrist segmentation using mask R-CNN. The International Arab Journal of Information Technology Vol. 19, no. 5 (Sep. 2022), pp.785-792.
https://search.emarefa.net/detail/BIM-1437085
American Medical Association (AMA)
Elumalai, Gokula Krishnan& Ganesan, Malathi. Deep learning based hand wrist segmentation using mask R-CNN. The International Arab Journal of Information Technology. 2022. Vol. 19, no. 5, pp.785-792.
https://search.emarefa.net/detail/BIM-1437085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 791-792
Record ID
BIM-1437085