Медицинская диагностика с помощью программных систем, использующих различные
алгоритмы искусственного интеллекта и машинного обучения, доступна с начала 1990 …

Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …

Introduction This study investigated the diagnostic and disease‐monitoring potential of
plasma biomarkers in mild cognitive impairment (MCI) and Alzheimer's disease (AD) …

Due to an increase in the consumption of food, feed, fuel and to meet global food security
needs for the rapidly growing human population, there is a necessity to breed high yielding …

Brain size variation over primate evolution and human development is associated with shifts
in the proportions of different brain regions. Individual brain size can vary almost twofold …

Breast cancer is considered to be one of the most threatening issues in clinical practice.
However, existing breast cancer diagnosis methods face questions of complexity, cost …

Human total brain size is consistently reported to be∼ 8–10% larger in males, although
consensus on regionally specific differences is weak. Here, in the largest longitudinal …

Non-invasive mapping of brain structure and function with magnetic resonance imaging
(MRI) has opened up unprecedented opportunities for studying the neural substrates …

Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

The variation between images obtained with different scanners or different imaging
protocols presents a major challenge in automatic segmentation of biomedical images. This …