COVID-19 SOP's violations detection in terms of face mask using deep learning
Facemask detection is a need of time as we are suffering in a pandemic situation of COVID-
19, and facemask is considered the best preventive measure to stop the rapid spread. The …
19, and facemask is considered the best preventive measure to stop the rapid spread. The …
[PDF][PDF] Automated brain tumour detection using deep learning via convolution neural networks (CNN)
Introduction: Brain tumours are the most known and aggressive disorder, leading to a poor
lifetime at the highest level. Treatment is one of the main benefits of development that saves …
lifetime at the highest level. Treatment is one of the main benefits of development that saves …
Hierarchical based tumor segmentation by detection using deep learning approach
MB Sahaai, GR Jothilakshmi - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Brain tumor is a cluster of abnormal cells that grows out of control in brain. Identifying brain
tumor is challenging for doctors, since its impact will lead to danger for human life. Spotting …
tumor is challenging for doctors, since its impact will lead to danger for human life. Spotting …
Application of Deep Learning in Imaging diagnosis of Brain diseases
J Liang, Z Wang, X Ye - … on Machine Learning, Big Data and …, 2021 - ieeexplore.ieee.org
The brain is one of the most important parts of the human body, and the diagnosis of its
diseases is of great significance to the treatment of diseases. With the rapid development of …
diseases is of great significance to the treatment of diseases. With the rapid development of …
Brain Tumour Detection Using Convolutional Neural Networks in MRI Images
D Pavani, K Durgalaxmi, BS Datta… - … Conference on Soft …, 2021 - Springer
Brain tumour detection is perhaps the most remarkable and difficult task in the field of
medical sciences because manual segmentation can result in incorrect results and findings …
medical sciences because manual segmentation can result in incorrect results and findings …
Brain tumor detection & segmented classification of CT-scan and MRI image
Medical imaging is one field whose importance is growing as there is a rise in demand for
automatic, quick, and effective diagnosis to provide imaging capabilities and quality higher …
automatic, quick, and effective diagnosis to provide imaging capabilities and quality higher …
Face mask detection using multi-stage cnn architecture
SP Singh, J Shukla, S Sharma, BS Bhalavi… - Proceedings of the …, 2021 - papers.ssrn.com
In the last month of 2019 whole world saw the pandemic of Coronavirus Disease 2019
(COVID-19), which has kept on being the reason for predicament for a huge number of lives …
(COVID-19), which has kept on being the reason for predicament for a huge number of lives …
Unsupervised Method for 3D Brain Magnetic Resonance Image Segmentation
Research at Digital Imaging and Communication in Medicine (DICOM) is very useful
research in the field of health. In brain images, the problem encountered is when you want to …
research in the field of health. In brain images, the problem encountered is when you want to …
Segmentation on Brain Tumor MRI Images Using Convolution Neural Network (CNN)
The Convolution Neural Network (CNN) splits the tumor into little 3x3 pieces, which is how
the brain tumor is divided. Because of the lesser mix of masses within the association, tiny …
the brain tumor is divided. Because of the lesser mix of masses within the association, tiny …
Deep Neural Model for Duplicate Question Detection Using Support Vector Machines (Svm)
Stack Overflow has been a core component of the toolset of the developer. This rise in
influence was followed by a Stack Overflow group initiative to preserve the Content …
influence was followed by a Stack Overflow group initiative to preserve the Content …