The brain is regarded as one of the most effective body-controlling organs. The development
of technology has enabled the early and accurate detection of brain tumors, which makes a …

In this paper a review and analysis were performed based on the Internet of Things (IoT) and
machine learning algorithms for the brain disease diagnosis and detection. This paper …

Di Indonesia jagung sering digunakan sebagai komoditas utama makanan pokok selain
nasi. Tanaman jagung memiliki potensi terkena penyakit ataupun serangan hama kapan …

Here, a brain tumor classification method using the support vector machine (SVM) algorithm
by utilizing discrete wavelet transform (DWT) transformation and feature extraction of gray …

Radiologists employ mammograms for the detection of breast cancer in patients, particularly
as breast cancer exhibits higher incidence rates in women. Early identification of breast …

Brain tumors are a growth of abnormal cells in the intracranial tissue that can disrupt proper
brain function. In general, brain tumors are classified into two main categories, benign and …

A new method of epilepsy detection and classification of the degree of affliction is presented.
The proposed method is based on the information generated by the filled contour maps of …

The abnormal development of tissues within the brain that affects its activity is referred to as
a brain tumor. The accurate detection of brain tumors is an important diagnosis function. The …

The detection of brain tumor is the most complex and extended task in medical image
planning. Identifying, segmenting, and detecting the region of infection in brain tumor MRI …