Artificial intelligence has revolutionized medical diagnosis, particularly for cancers. Acute
myeloid leukemia (AML) diagnosis is a tedious protocol that is prone to human and machine …

Background Accurate segmentation of pulmonary nodules on computed tomography (CT)
scans plays a crucial role in the evaluation and management of patients with suspicion of …

This paper investigates deep learning (DL)-based semantic segmentation of textured
mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the …

Characterizing heterogeneity is crucial to assess the variability of rock properties in
carbonate reservoir samples. This work introduces an original multiscale approach to …

In the field of materials science, microscopy is the first and often only accessible method for
structural characterization. There is a growing interest in the development of machine …

Malignant melanoma is one of the most serious and deadly types of skin cancer, fortunately
it is treatable if detected at an early stage. Many Computer-Aided Diagnosis (CAD) systems …

This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …

Recent advances in numerical methods combined with the use of 3D X-ray micro computed
tomography acquisition systems improved the characterization of reservoir rocks at pore …

The quantitative study of cell morphology is of great importance as the structure and
condition of cells and their structures can be related to conditions of health or disease. The …

Segmentation is one of the image processing techniques, widely used in computer vision, to
extract various types of information represented as objects or areas of interest. The …