A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …

Background and Objectives: Clinical diagnosis has become very significant in today's health
system. The most serious disease and the leading cause of mortality globally is brain cancer …

Image processing plays an important role in various medical applications to support the
computerized disease examination. Brain tumor, such as glioma is one of the life threatening …

Clinical diagnosis has increased marvelous significance in current day healthcare systems.
This article proposes a brain tumor detection method using edge detection based fuzzy logic …

This study proposes a computer aided detection approach to diagnose brain tumor in its
early stage using Mathematical Morphological Reconstruction (MMR). Image is pre …

This work aims at developing a novel pathological brain detection system (PBDS) to assist
neuroradiologists to interpret magnetic resonance (MR) brain images. We simplify this …

Untuk pertama kalinya, makalah ini bertujuan untuk mendiskusikan tentang potensi Peran
Kecerdasan Buatan (AI) dalam Telemedicine: Dari Perspektif Profesional Kesehatan. Terkait …

Peaches are susceptible to fungal infection after harvest, and detection of the symptom at
early stage is critical to reducing economic loss for the industry, but is challenging because …

Since magnetic resonance imaging (MRI) has superior soft tissue contrast, contouring
(brain) tumor accurately by MRI images is essential in medical image processing …

Magnetic resonance imaging (MRI) is a technological development in the medical field that
produces images with high resolution to detect and then can classify diseases that are found …