Cancer remains one of the leading causes of mortality worldwide, necessitating continuous
advancements in early diagnosis and treatment. Deep learning, a subset of artificial …

In recent years, the realms of computer vision and deep learning have ushered in
transformative changes across various domains. Among these, deep learning stands out for …

Simple Summary Within the rapidly evolving landscape of Machine Learning in the medical
field, this paper focuses on the forefront advancements in neuro-oncological radiology. More …

Early diagnosis and treatment planning are greatly aided by the early identification of brain
tumors. Because of its high resolution, low radiation, and low risk of patient discomfort …

Abstract Purpose and Background. Accurate quantitative assessment of PCNSL by
gadolinum-contrast Magnetic resonance imaging (MRI) is closely related to therapy …

Cancer remains one of the leading causes of mortality worldwide, necessitating continuous
advancements in early diagnosis and treatment. Deep learning, a subset of artificial …

The assembly of distributed computing and Internet of Things (IoT) is halfway because of the
logical requirement for conveying stretched out administrations to a more extensive client …

With rapid advancement in wireless technology and pervasive digital technology have
provided in increasing popularity and interest of Internet Industrial of Things (IoT) …

Deep learning has been used extensively in recent years in numerous studies across many
disciplines, including medical imaging. GANs (Generative Adversarial Networks) have …