S Sridhar
Dados Biográficos
| ID | 8158939 |
|---|---|
| NOME | S Sridhar |
| PRENOMES | S |
| SOBRENOME | Sridhar |
| ASSINATURA | SRIDHAR S |
| AFILIAÇÕES | Kalpavriksh |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 7 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1998 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Open Access E-Resources - Arts and Science College Library
Open access e-resources are freely available online materials that can be accessed, used, and shared without restrictions. Open access e-resources are freely available online scholarly materials that can be accessed and used without financial or legal restrictions. These resources, including journals, books, and other materials, are part of the open access, which aims to make research and knowledge widely accessible
Brain tumor segmentation and prediction on MRI images using deep learning network
Brain Tumor is caused when the anomalousl cells that form within the brain and these could be of any size, shape in nature, so it is one of the difficult tasks to detect the presence of tumor. This could be found using MRI scans. In this paper, suitable algorithms have been developed to detect the MRI image has a brain tumor or not. The dataset used here has been taken from kaggle competition. Data augmentation is performed to maximize the data i…
Investigating women's s gynaecological morbidity in India
This paper discusses major lessons learnt from seven community-based prevalence studies of gynaecological morbidity among poor women in India, methodological challenges associated with this research and implications for future research: (i) close interaction with the community is an important determinant of a successful study; (ii) appropriate medical treatment should be provided to respondents, as it maybe the only opportunity to address many wo…
Investigating women's s gynaecological morbidity in India
This paper discusses major lessons learnt from seven community-based prevalence studies of gynaecological morbidity among poor women in India, methodological challenges associated with this research and implications for future research: (i) close interaction with the community is an important determinant of a successful study; (ii) appropriate medical treatment should be provided to respondents, as it maybe the only opportunity to address many wo…
Investigating women's s gynaecological morbidity in India
This paper discusses major lessons learnt from seven community-based prevalence studies of gynaecological morbidity among poor women in India, methodological challenges associated with this research and implications for future research: (i) close interaction with the community is an important determinant of a successful study; (ii) appropriate medical treatment should be provided to respondents, as it maybe the only opportunity to address many wo…
Brain tumor segmentation and prediction on MRI images using deep learning network
Brain Tumor is caused when the anomalousl cells that form within the brain and these could be of any size, shape in nature, so it is one of the difficult tasks to detect the presence of tumor. This could be found using MRI scans. In this paper, suitable algorithms have been developed to detect the MRI image has a brain tumor or not. The dataset used here has been taken from kaggle competition. Data augmentation is performed to maximize the data i…
Open Access E-Resources - Arts and Science College Library
Open access e-resources are freely available online materials that can be accessed, used, and shared without restrictions. Open access e-resources are freely available online scholarly materials that can be accessed and used without financial or legal restrictions. These resources, including journals, books, and other materials, are part of the open access, which aims to make research and knowledge widely accessible
Medicine (2 obras) · Access to information (1 obras) · Advanced Neural Network Applications (1 obras) · Artificial Intelligence (1 obras) · Brain tumor (1 obras) · Brain Tumor Detection and Classification (1 obras) · Computer Science (1 obras) · Computer vision (1 obras) · Deep learning (1 obras) · Demography (1 obras)