Radiologists can locate the tumor location using the experimental medical imaging
technique known as magnetic reasoning imaging (MRI). However, manually testing the MRI …

Background: Cancer-related research, as indicated by the number of entries in Medline, the
National Library of Medicine of the USA, has dominated the medical literature. An important …

Since the introduction of image pattern recognition and computer vision processing, the
classification of cancer tissues has been a challenge at pixel-level, slide-level, and patient …

The increasing rates of deadly brain tumors in humans correspondingly increase the need
for highly experienced medical personnel for diagnosis and treatment. Therefore, to reduce …

AbstractBreast malignancy is one of the primary driver of disease demise around the world.
Early diagnostics essentiallybuilds the odds of right treatment and survival, however this …

The healthcare industry is one of the many out there that could majorly benefit from
advancement in the technology it utilizes. Artificial intelligence (AI) technologies are …

The genesis of the proposition to employ deep learning methods for the identification of
cancer images stems from the pressing need to augment the diagnosis and treatment of …

Data”, M. Sc. Thesis, MSc in Electrical and Computer Engineering, Department of Electrical
Engineering and Computer Science, Khalifa University of Science and Technology, United …

Cancer was among the first three in the list of leading causes of death worldwide in the year
2020 according to World Health Organization (WHO). Though cancer is one of the major …

Gastric cancer stands out as one of the most prevalent malignancies globally, holding the
fourth position in terms of cancer-related fatalities. This intricate disease is shaped by a mix …