Histopathology and MRI produce different types of images and a single procedure to detect
cancerous cells from both of them is considered tedious and time-consuming. Therefore, this …

Artificial Intelligence and its sub-branches like Machine Learning (ML) and Deep Learning
(DL) applications have the potential to have positive effects that can directly affect human …

In this paper, we aim to develop a low-computational system for real-time image processing
and analysis in endoscopy images for the early detection of the human esophageal …

Cancer is known to be one of the most dangeroushealth problems in the world and among it,
lung cancer is knowntobethemostseriouscancerwiththesm…. Thelungcancerriskpopulationisalsoveryhigh …

The early detection of liver cancer saves the time of a doctor and life of a patient. The
proposed system collects Microscopic images as input from the patients and preprocesses …

Brain tumor is the main threat among the people. But currently, it becomes more advanced
because of the many Machine Learning techniques. Magnetic Resonance Imaging is the …

BACKGROUND A convolutional neural network (CNN) is a deep learning algorithm based
on the principle of human brain visual cortex processing and image recognition. AIM To …

Computer vision-based methods play a significant role in the recognition of cancerous tissue
from histopathological images. Therefore, computer-assisted diagnosis systems provide an …

Bowel cancer, which is easily affected by diet and drugs, has some restrictive factors such as
the fecal occult blood test (FOBT) in the routine detection and the high cost and …

Colorectal cancer, which is frequent, recognized tumors in both genders around the globe.
As per the report generated by WHO in 2018, colon cancer placed in the third position …