Closed-circuit television (CCTV) systems are essential nowadays to prevent security threats
or dangerous situations, in which early detection is crucial. Novel deep learning-based …

Microscopic algae segmentation, specifically of diatoms, is an essential procedure for water
quality assessment. The segmentation of these microalgae is still a challenge for computer …

Fast automatic handgun detection can be very useful to avoid or mitigate risks in public
spaces. Detectors based on deep learning methods have been proposed in the literature to …

This paper describes a novel weighted voting tree classification scheme for breast density
classification. Breast parenchymal density is an important risk factor in breast cancer. …

Early detection of the presence of dangerous objects such as handguns in Closed-Circuit
Television (CCTV) images is vital to reduce the potential damage. In this work, a novel method …

Deep learning (henceforth DL) has become most powerful machine learning methodology.
Under specific circumstances recognition rates even surpass those obtained by humans. …

Background and objective: This paper presents the quantitative comparison of three
generative models of digital staining, also known as virtual staining, in H&E modality (ie, …

This dataset comprises 38 breast ultrasound scans from patients, encompassing a total of
683 images. The scans were conducted using a Siemens ACUSON S2000TM Ultrasound …

The field of anatomic pathology has experienced major changes over the last decade. Virtual
microscopy (VM) systems have allowed experts in pathology and other biomedical areas to …

In an object detection system, the main objective during training is to maintain the detection
and false positive rates under acceptable levels when the model is run over the test set. …