Medical imaging is an exponentially growing field, which consists of a set of tools and
techniques used to extract useful information from medical images. Magnetic Resonance …

Magnetic resonance imaging (MRI) is an accurate and noninvasive method employed for
the diagnosis of various kinds of diseases in medical imaging. Most of the existing systems …

The application of digital technologies has been present in healthcare sector for over more
than a century. The wide spread of COVID-19 pandemic forced people to stay isolated, but …

In order to solve the problem that corporate financial risks seriously affect the healthy
development of enterprises, credit institutions, securities investors, and even the whole of …

With the development of electronic information science and network transmission
technology, signal processing technology is widely used in various fields. The processing of …

This paper aims to implement and experiment with a deep learning model, U-Net, for
effectively segmenting the 3D-brain tumor images. It helps to identify glioblastoma in MRI …

This paper presents the novel smart hybrid EfficientNet-deep autoencoder (EF-DA) Deep
Neural Network model to classify brain images. This is the succession of modified …

With the acceleration of economic globalization, the demand for Japanese professionals is
also increasing. In view of this situation, this paper puts forward a set of college Japanese …

Alzheimer's disease is a neurological degenerative disorder that impacts the memory
potency and entire function of the human brain that leads to Dementia. It is commonly …

The primary goal of this research was to lay the groundwork for improvements to self-
adaptive deep learning models such as ResNet152, DenseNet169, and InceptionResNetV2 …