A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI.

Breast density, or the amount of fibroglandular tissue (FGT) relative to the overall breast volume, increases the risk of developing breast cancer. Although previous studies have utilized deep learning to assess breast density, the limited public availability of data and quantitative tools hinders the development of better assessment tools. Our objective was to (1) create and share a large dataset of pixel-wise annotations according to well-defined criteria, and (2) develop, evaluate, and share an automated segmentation method for breast, FGT, and blood vessels using convolutional neural networks.

Older people's perceptions of intergenerational relationships in nursing homes: A qualitative content analysis.

Introduction: Intergenerational conflict is one of the components which helps to inappropriate communication patterns and ineffective interactions. Intergenerational research aims to promote deeper understanding and respect between generations and helps to create more cohesive communities, suggesting that it can have numerous health and social benefits. Despite the importance of intergenerational relationships in the elderly, the older people's perceptions of intergenerational relationships in nursing homes are not well understood.

Microscopic retinal blood vessels detection and segmentation using support vector machine and K-nearest neighbors.

The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus images. Vessel detection and segmentation are useful in disease diagnosis. The retina's blood vessels could help diagnose maladies such as glaucoma, diabetic retinopathy, and blood pressure.

Identity verification using palm print microscopic images based on median robust extended local binary pattern features and k-nearest neighbor classifier.

Automatic identity verification is one of the most critical and research-demanding areas. One of the most effective and reliable identity verification methods is using unique human biological characteristics and biometrics. Among all types of biometrics, palm print is recognized as one of the most accurate and reliable identity verification methods.

Authentication through gender classification from iris images using support vector machine.

Soft biometric information, such as gender, iris, and voice, can be helpful in various applications, such as security, authentication, and validation. Iris is secure biometrics with low forgery and error rates due to its highly certain features are being used in the last few decades. Iris recognition could be used both independently and in part for secure recognition and authentication systems.

Brain tumor segmentation using K-means clustering and deep learning with synthetic data augmentation for classification.

Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Several types of imagery are used for diagnostics, tumor segmentation, and classification. Magnetic resonance imaging (MRI) is favored among all modalities due to its noninvasive nature and better representation of internal tumor information.

Photon antibunching control in a quantum dot and metallic nanoparticle hybrid system with non-Markovian dynamics.

Photon-number statistics of the emitted photons from a quantum dot placed in the vicinity of a metallic nanoparticle driven by a laser in the non-Markovian regime is investigated theoretically. In the model scheme, the quantum dot is considered as an InAs three-level system in L-type configuration with two transition channels. We aim to introduce the hybrid system as a nonclassical photon source and control the antibunching behavior of the emitted photons by the geometrical as well as the physical parameters of the hybrid system.

[Study of the beneficial effects of triptorelin on lower urinary tract symptoms in Algeria in patients with non-localized prostate cancer].

Introduction: This study aims to assess the effectiveness of triptorelin on lower urinary tract symptoms (LUTS) in Algerian patients with non-localized prostate cancer in routine practice.

Materials: This prospective, observational, non-interventional, multicentre study was conducted in Algeria. Included patients who had locally advanced or metastatic prostate cancer and were treated with triptorelin 11.

[Early-onset neonatal bacterial infections: a retrospective series of 144 cases].

Background: Early-onset neonatal bacterial infections continue to be a major cause of morbidity and mortality in the newborn. THE AIM of this study was to determine the incidene, the risk factors and bacterial epidemiology of these infections.

Methods: All cases of early-onset neonatal bacterial infections were identified for the years 2001-2003 using data from obstetric and neonatal reports at the neonatal unit of Charles Nicolle Hospital.

Ablation of superficial bladder tumors with focused extracorporeal pyrotherapy.

Objectives: We report the first experimental studies of focused extracorporeal pyrotherapy.

Methods: Focused extracorporeal pyrotherapy has been used to treat superficial bladder tumors in a Phase II protocol in 25 patients. In 5 cases, for technical reasons, pyrotherapy was not used.

Focused extracorporeal pyrotherapy.

A system generating focused elastic ultrashort waves has been developed with the aim to destroy tumors by an extracorporeal way. Experimental studies on different targets (plastic phantoms, organ samples and normal live tissues in pigs) have been done showing the good focusing of the device and the possibility of getting a focal tissular coagulative necrosis. Studies on cultured tumor cells and implanted tumors in rats have shown a local effect on cells or tumor growth with the absence of metastatic risks.