Multidimensional CNN-Based Deep Segmentation Method for Tumor Identification.

Weighted MR images of 421 patients with nasopharyngeal cancer were obtained at the head and neck level, and the tumors in the images were assessed by two expert doctors. 346 patients' multimodal pictures and labels served as training sets, whereas the remaining 75 patients' multimodal images and labels served as independent test sets. Convolutional neural network (CNN) for modal multidimensional information fusion and multimodal multidimensional information fusion (MMMDF) was used.

Efficacy of Various Types of Berries Extract for the Synthesis of ZnO Nanocomposites and Exploring Their Antimicrobial Potential for Use in Herbal Medicines.

Nanoscience has developed various greener approaches as an alternate method for the synthesis of nanoparticles and nanocomposites. The present study discusses the efficacy of berries extract for the synthesis of ZnO nanocomposites. Characterization of synthesized nanocomposite were done by SEM, UV/VIS spectrophotometry, Fourier transform infrared (FTIR) spectroscopy, and XRD techniques.