Brain tumors are deadly but become deadliest because of delayed and inefficient diagnosis
process. Large variations in tumor types also instigate additional complexity. Machine vision …

Data-based models are extensively applied in concrete dam health monitoring. In this paper,
the Empirical Mode Decomposition (EMD) is adopted to extract and visualize the irreversible …

Health is very important for human life. In particular, the health of the brain, which is the
executive of the vital resource, is very important. Diagnosis for human health is provided by …

Deep learning has enabled the creation of several approaches for segmenting brain tumors
using convolutional neural networks. These methods have come about as a direct result of …

A brain tumor is the abnormal cells that growth in the brain, and it is considered as one of the
most dangerous diseases that lead to the cause of death. Diagnosis at early is important for …

Tumors in the brain can be life-threatening, making early and precise detection crucial for
effective treatment and improved patient outcomes. Deep learning (DL) techniques have …

Detection of abnormal area in the medical image is a critical topic. Magnetic Resonance
Imaging (MRI) is one of essential technique to investigate the brain. A lot of ideas have been …

Brain tumor is considered as a major concern in the current scenario. The survival of a
person is a challenging task, if the brain tumor is in the severe stage. Fractal dimension (FD) …

Cancer is classified as one of the most common diseases that lead to death at the present
time. Some brain tumors are considered cancerous. Moreover, the shape, texture, size and …