Abstract: Disclosed are a Co3O4 nanosheet loaded stainless steel mesh, a preparation method and an application thereof. The method includes: S1, depositing a cobalt hydroxide nanosheet array on a surface of a stainless steel mesh by an electrochemical deposition method, and obtaining the stainless steel mesh deposited with the cobalt hydroxide nanosheet array; and S2, obtaining the Co3O4 nanosheet loaded stainless steel mesh by calcining the stainless steel mesh deposited with the cobalt hydroxide nanosheet array.

Abstract: This disclosure relates to improved techniques for performing computer vision functions on medical images, including object segmentation functions for identifying medical objects in the medical images and grading functions for determining severity labels for medical conditions exhibited in the medical images. The techniques described herein utilize a neural network architecture to perform these and other functions. The neural network architecture can be trained, at least in part, using semi-supervised learning techniques that enable the neural network architecture to accurately perform the object segmentation and grading functions despite limited availability of pixel-level annotation information.