Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Purpose The aims of this study are to evaluate the stability of radiomic features from T2-
weighted MRI of cervical cancer in three ways:(1) repeatability via test–retest;(2) …

Multi-label classification (MLC) is considered an essential research subject in the computer
vision field, principally in medical image analysis. For this merit, we derive benefits from …

The present global size of online news websites is more than 200 million. According to
MarketingProfs, more than 2 million articles are published every day on the web, but Online …

Oil and gas production operations are a major source of environmental pollution that expose
people and habitats in many coastal communities around the world to adverse health …

The real time usage of Computer Aided Diagnosis (CAD) systems to detect brain tumors as
proposed in the literature is yet to be explored. Gliomas are the most commonly found brain …

In liver tumor segmentation tasks, the problems of multi-scale and global spatial modeling
significantly affect the segmentation accuracy. For multi-scale feature extraction, we propose …

With the current COVID19 pandemic, we have to weigh human life, prosperity, and value,
while implicitly acknowledging that controlling case spread and mortality is a challenge …

This study aims to gain insights into emerging research fields in the area of marketing and
tourism. It provides support for the use of quantitative techniques to facilitate content …