dc.contributor.author |
Bhavsar, Barkha |
|
dc.contributor.author |
Shrimali, Bela |
|
dc.date.accessioned |
2024-03-09T17:54:50Z |
|
dc.date.available |
2024-03-09T17:54:50Z |
|
dc.date.issued |
2024-03-10 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/5503 |
|
dc.description.abstract |
Cervical cancer has under the top cancer found in women of developing countries since last many years. Classification of
cervical cancer through a traditional microscopic approach is a monotonous and prolonged task. Most of the time hospital doctors
cannot identify the cancer cells as sometimes the nucleus of a cell, which contains the genetic material (DNA), is typically very small
and often not visible to the naked eye. Due to the different perspectives of doctors, cancer stages are classified falsely which leads to
low recovery and late medication. The use of Image Processing and Machine Learning technologies can take off misclassification and
inaccurate prediction. Although many deep learning techniques are available for cervical cancer cell detection and classification, the
performance of such techniques for prediction and classification with real and sample datasets is the main challenge. In this paper, we
did a thorough state-of-the-art review of the available current literature. The objective of this paper is to bring forth in-depth knowledge
to novice researchers with a thorough understanding of the architecture of the computer-assisted classification process. The current
literature is studied, analyzed, and discussed with their approaches, results, and methodologies. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.subject |
Image Processing, Machine Learning, Image Classification, Pattern Analysis, Feature evaluation, Feature selection |
en_US |
dc.title |
Meticulous Review: Cutting-Edge Cervix Cancer Stratification Using Image Processing And Machine Learning |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/ijcds/150195 |
|
dc.volume |
15 |
en_US |
dc.issue |
1 |
en_US |
dc.pagestart |
1343 |
en_US |
dc.pageend |
1358 |
en_US |
dc.contributor.authorcountry |
India |
en_US |
dc.contributor.authorcountry |
India |
en_US |
dc.contributor.authoraffiliation |
Dept. of Computer Engineering, LDRP Institute of Technology and Research, KSV, SVKM |
en_US |
dc.contributor.authoraffiliation |
Dept. of Computer Science and Engineering, Institute of Technology, Nirma University |
en_US |
dc.source.title |
International Journal of Computing and Digital Systems |
en_US |
dc.abbreviatedsourcetitle |
IJCDS |
en_US |