The remarkable developments in computer vision and machine learning have changed the
methodologies of many scientific disciplines. They have also created a new research field in …

Breast cancer (BC) is a deadly disease, killing millions of people every year. Developing
automated malignant BC detection system applied on patient's imagery can help dealing …

Wood identification is an important tool in many areas, from biology to cultural heritage. In
the fight against illegal logging, it has a more necessary and impactful application …

Breast tumor detection and classification on the Internet of Medical Things (IoMT) can be
automated with the potential of Artificial Intelligence (AI). Deep learning models rely on large …

Forest species recognition has been traditionally addressed as a texture classification
problem, and explored using standard texture methods such as Local Binary Patterns (LBP) …

Complexity measures are important to understand and analyze systems with one
dimensional data. However, extension of these methods to images (two dimensional data) …

Wood anatomy is one of the most important methods for timber identification. However,
training wood anatomy experts is time-consuming, while at the same time the number of …

Wood recognition is a crucial task for wood sciences and industries, since it leads to the
identification of the anatomical features and physical properties of wood. Traditionally, the …

In this survey, we present a review of methods and resources for texture recognition,
presenting the most common techniques that have been used in the recent decades, along …

We establish an efficient and reliable method of wood identification that combines a non-
destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with …