Shweta Agrawal
Datos Biográficos
| ID | 7895412 |
|---|---|
| NOMBRE | Shweta Agrawal |
| NOMBRES | Shweta |
| APELLIDO | Agrawal |
| FIRMA | AGRAWAL S |
| AFILIACIONES | Institute of Advanced Computing, SAGE University, Indore 452010, India |
| ORCID | 0000-0002-0372-6128 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
VCNet
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the application of deep learning models for the identification of lung cancer, researchers and doctors still face challenges when trying to deploy the model in clinical settings to achieve improved accuracy and sensitivity on huge datasets. In most situat…
Covid-19 Public Opinion
The COVID-19 pandemic has shattered the whole world, and due to this, millions of people have posted their sentiments toward the pandemic on different social media platforms. This resulted in a huge information flow on social media and attracted many research studies aimed at extracting useful information to understand the sentiments. This paper analyses data imported from the Twitter API for the healthcare sector, emphasizing sub-domains, such a…
Sin obras prominentes en esta página.
VCNet
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the application of deep learning models for the identification of lung cancer, researchers and doctors still face challenges when trying to deploy the model in clinical settings to achieve improved accuracy and sensitivity on huge datasets. In most situat…
Covid-19 Public Opinion
The COVID-19 pandemic has shattered the whole world, and due to this, millions of people have posted their sentiments toward the pandemic on different social media platforms. This resulted in a huge information flow on social media and attracted many research studies aimed at extracting useful information to understand the sentiments. This paper analyses data imported from the Twitter API for the healthcare sector, emphasizing sub-domains, such a…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Computer vision (1 obra) · Convolutional neural network (1 obra) · Coronavirus disease 2019 (COVID-19 (1 obra) · COVID-19 diagnosis using AI (1 obra) · Data science (1 obra) · Deep learning (1 obra) · Health care (1 obra) · Lung Cancer Diagnosis and Treatment (1 obra)