Fast and accurate diagnosis is critical for the triage and management of pneumonia,
particularly in the current scenario of a COVID-19 pandemic, where this pathology is a major …

To date, studies investigating radiomics-based predictive models have tended to err on the
side of data-driven or exploratory analysis of many thousands of extracted features. In …

Urbanization is a phenomenon of concern for planning and public health: projections are
difficult because of policy changes and natural events, and indicators are multiple. There are …

The current ongoing trend of dimension detection of medical images is one of the
challenging areas which facilitates several improvements in accurate measuring of clinical …

Objective To evaluate the trabecular bone density in the mandible of paediatric patients
diagnosed with sleep bruxism (SB) using the fractal analysis method on panoramic …

Abstract Hidden Markov Model (HMM) is a stochastic process where implicit or latent
stochastic processes can be inferred indirectly through a sequence of observed states. HMM …

An archetype signal dependent noise (SDN) model is a component used in analyzing
images or signals acquired from different technologies. This model-component may share …

Fractal dimension (FD) together with advances in imaging technologies has provided an
increasing application of digital images to interpret biological phenomena. In …

Understanding the complex variations in water use efficiency (WUE) is critical for optimizing
agricultural productivity and resource management. Traditional analytical methods often fail …

The present study aims to evaluate the effectiveness of the multifractal analysis in classifying
benign and malignant tumor cells on MRI (Magnetic Resonance Imaging) images from …