In the background of the COVID-19 pandemic, institutions such as the academy suffer a
great deal from practically closed globally if the current situation is not going to change …

Tumor is terminal disease that immobile occur by many subtypes that face other problems
inside biomedical investigate. The statistics obtainable for DNA look by corresponding RNA …

In modern globe, medical image analysis significantly participates in diagnosis process. In
general, it involves five processes, such as medical image classification, medical image …

Semantic information has proven to be an enabling factor for robots to better understand
their surroundings. In this paper, we propose an RGB-D based semantic simultaneous …

An increasing number of applications require land cover information from remote sensing
images, thereby resulting in an urgent demand for automatic land use and land cover …

We suggest a shading essentially based division theory using the Convolution Neural
Network technique to observe tumor protests in cerebrum pictures of reverberation (MR) …

Irregular development of the tumor impacts the brain most. Early detection of such tumors
mostly helps in providing effective treatment. Medical image processing is the first step in the …