Mayuri Jamanadas Popat

Mrs. Mayuri Jamanadas Popat

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 September 2023 in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Verified
Journal Article
Closed access
Mayuri Jamanadas PopatMayuri Jamanadas Popat
Mayuri Jamanadas Popat
SPSanskruti Patel
Sanskruti Patel
Previously, the brain tumour segmentation is carried out as the manual process for detecting the brain tumour from the huge quantity of Medical Resonance Images (MRI) that is obtained from the clinical practices. But, these types of manual segmentation require more time and become a tedious process. While analysing the medical images, the challenges occur in detecting the brain tumours through MRI. This recognition process becomes difficult because of certain complexities and the presence of numerous varieties of tumour tissues. This analysis is aimed to summarise the semi-automatic methods for segmenting and classifying the brain tumour MRI and other modalities. The main purpose of this paper is to provide a literature review of brain tumour segmentation and classification using different imaging modalities. At first, the different tumour segmentation and feature extraction techniques are depicted. Further, the recent trend of deep and machine learning methods in this field is reviewed and categorised. The datasets used in different contributions, the simulated platforms, and the performance measures analysed are clearly evaluated and sorted out. Finally, the unsolved challenges under this field are observed, and future advancements to improve MRI-based brain tumour detection methods in the regular clinical routine are considered.

1 January 2021
Verified
Book Chapter
Closed access
CBChintan M. Bhatt
Chintan M. Bhatt
KPKevin Patel
Kevin Patel
YRYashvi Nileshbhai Raythatha
Yashvi Nileshbhai Raythatha
PDPoojan S. Dharaiya
Poojan S. Dharaiya
CJChirag Jethva
Chirag Jethva
Mayuri Jamanadas PopatMayuri Jamanadas Popat
Mayuri Jamanadas Popat
The issue of security is paramount in any organisation. Therefore, the authors intend to aid in the security of such organisations by bringing a video based human authentication system for access control which is a type of cyber physical system (CPS). CPS is an integration of computation and physical processes; here the computation is provided by face detection and recognition algorithm and physical process is the input human face. This system aims to provide a platform that allows any authorized person to enter or leave the premise automatically by using face detection and recognition technology. The system also provides the administrator with the access to the logs, wherein he/she would be able to access the details of the people entering or leaving the organisation along with the live video streaming so that there is no sneaking of any unauthorized person with any other authorized person. The administrator can also do registration on behalf of a new person who requires access to the premises for a restricted amount of time only as specified by the administrator.

1 October 2025
Verified
Book Chapter
Closed access
PDF file
NKNishant Koshti
Nishant Koshti
VSV. Spoorthy
V. Spoorthy
DSDheeraj K. Shringi
Dheeraj K. Shringi
Mayuri Jamanadas PopatMayuri Jamanadas Popat
Mayuri Jamanadas Popat