Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks.

In recent years, the application of artificial intelligence (AI) in the automotive industry has led to the development of intelligent systems focused on road safety, aiming to improve protection for drivers and pedestrians worldwide to reduce the number of accidents yearly. One of the most critical functions of these systems is pedestrian detection, as it is crucial for the safety of everyone involved in road traffic. However, pedestrian detection goes beyond the front of the vehicle; it is also essential to consider the vehicle's rear since pedestrian collisions occur when the car is in reverse drive. To contribute to the solution of this problem, this research proposes a model based on convolutional neural networks (CNN) using a proposed one-dimensional architecture and the Inception V3 architecture to fuse the information from the backup camera and the distance measured by the ultrasonic sensors, to detect pedestrians when the vehicle is reversing. In addition, specific data collection was performed to build a database for the research. The proposed model showed outstanding results with 99.85% accuracy and 99.86% correct classification performance, demonstrating that it is possible to achieve the goal of pedestrian detection using CNN by fusing two types of data.

Semen quality before cryopreservation and after thawing in 543 patients with testicular cancer.

OBJECTIVE: The main objective of this study was to assess semen characteristics of patients with testicular cancer before cryopreservation and after thawing, to evaluate the consequences of this technique on sperm quality in patients with testicular cancer. METHODS: Five hundred eighty-nine samples from 543 patients with testicular cancer were cryopreserved between 1995 and 2015, one aliquot per patient was used for a thawing test to assess the impact of cryopreservation on sperm motility; semen analysis was performed before cryo preservation and after thawing, the result interpretation was carried out using the 2010 World Health Organization (WHO) Laboratory Manual, and consent forms were signed by the patients for freezing and when sperm was used for reproductive purposes. RESULTS: Hypospermia was observed in 28.7% of samples, the median sperm concentration was 18 million/mL with 35% oligozoospermia; twenty-two patients (4.1%) had azoospermia and 12.7% had severe oligozoospermia, the median sperm count was 31.3 million and 261 semen samples (44.3%) were normal in all parameters according to the WHO; total motile sperm count before cryopreservation and after thawing was 12 (0-412.2) and 7 (0-303.9) million sperm, respectively (p < 0.00001, 95% CI 5.48-14.91), which represents a 32% reduction; concerning the utilization of cryopreserved semen samples, only twelve patients (2.2%) used their frozen sperm for reproductive purposes. CONCLUSIONS: An impairment in semen quality was found in almost half of the samples from patients with testicular cancer, only few patients had azoospermia or severe oligozoospermia; sperm cryopreservation significantly reduces sperm motility and total motile sperm count and very few patients use their frozen sperm for reproductive purposes.

Relación entre índice de masa corporal, cáncer de próstata, antígeno prostático específico y score de Gleason / Is body mass index related to prostate cancer, PSA and Gleason score?

Objetivo: Evaluar la relación entre índice de masa corporal (IMC), riesgo de cáncer de próstata, antígeno prostático específico (APE) y score de Gleason en 505 pacientes sometidos a biopsia prostática. Pacientes y Métodos: Se realizó un estudio caso control evaluando la relación entre IMC y cáncer de próstata. En los pacientes con cáncer de próstata se evaluó la relación entre IMC (<25, <25<30, <30), APE y score de Gleason. Resultados: Adenocarcinoma de próstata fue diagnosticado en 201 pacientes. Al estratificar el IMC (<25, <25<30, <30) de los pacientes y relacionarlo con la presencia o ausencia de cáncer no se encontró asociación estadísticamente significativa entre los grupos. Se encontró un mayor riesgo de cáncer de próstata en los pacientes de mayor estatura. En los pacientes con cáncer no se encontró asociación estadísticamente significativa entre IMC, APE y score de Gleason. Conclusión: No se encontró asociación entre obesidad y cáncer de próstata. Existe un mayor riesgo de cáncer de próstata a mayor estatura. En los pacientes con diagnóstico de cáncer de próstata no se encontró asociación entre obesidad, APE y score de Gleason.

Objetive: To evaluate the relationship between Body Mass Index (BMI), prostate cancer risk, prostate specific antigen (PSA) and Gleason score in 505 patients who underwent transrectal prostatic biopsy. Patients and Methods: We designed a Case-Control study to evaluate the relationship between BMIand the presence of prostate cancer. In the patients with the diagnosis of prostate cancer we evaluated the relationship between BMI (<25, <25<30, <30), PSA levels and Gleason score. Results: Prostate cancer was diagnosed in 201 patients. BMI (<25, <25<30, <30) was not related to the presence of prostate cancer. Height was associated with an increased risk of prostate cancer. Noassociation was found between BMI, PSA levels and Gleason score in patients with prostate cancer. Conclusions: The results of this study support the hypothesis that BMI is not associated with prostate cancer risk in Chilean population. Height is associated with an increased risk of prostate cancer. Inpatients with prostate cancer no association was found between BMI, PSA levels and Gleason score.