Locoregional Treatment in Patients With Metastatic Cervical Cancer: Benefit of Dose Escalation Strategies.

Purpose: The objective of this work was to examine the benefit of an intensive locoregional treatment including an image guided adaptive brachytherapy (IGABT) among patients with cervical cancer and extrapelvic extension.

Methods And Materials: Medical records of consecutive patients with a metastatic cervical cancer and receiving external beam radiation therapy and IGABT boost in Gustave Roussy Institute as part of their first line of treatment were examined. Depending on tumor sites, patients received pelvic ± para-aortic external beam radiation therapy.

Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction.

Since 2019, COVID-19 disease caused significant damage and it has become a serious health issue in the worldwide. The number of infected and confirmed cases is increasing day by day. Different hospitals and countries around the world to this day are not equipped enough to treat these cases and stop this pandemic evolution.

Behavior of L. in presence of aluminum stress: Germination, plant growth, and antioxidant enzymes.

Aluminum (Al) is an ubiquitously present element in soil; it is considered as a major problem in crop production that affects plant growth and development on acid soils. The aim of this work was to determine the germination parameters, to quantify the water status and growth, to assess the Al accumulation, and antioxidant enzyme activities in plants to evaluate the stress exerted by aluminum in L. For germination test, increasing doses of Al were used (0, 200, 500, 1,000, and 2,000 μM).

A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data.

In recent years, big data became a hard challenge. Analyzing big data needs a lot of speed precision combination. In this article, we describe a deep learning-based method to deal with big data with a focus on precision and speed.