<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yang, Hechen</style></author><author><style face="normal" font="default" size="100%">Zhao, Xin</style></author><author><style face="normal" font="default" size="100%">Jiang, Tao</style></author><author><style face="normal" font="default" size="100%">Zhang, Jinghua</style></author><author><style face="normal" font="default" size="100%">Zhao, Peng</style></author><author><style face="normal" font="default" size="100%">Chen, Ao</style></author><author><style face="normal" font="default" size="100%">Grzegorzek, Marcin</style></author><author><style face="normal" font="default" size="100%">Qi, Shouliang</style></author><author><style face="normal" font="default" size="100%">Teng, Yueyang</style></author><author><style face="normal" font="default" size="100%">Li, Chen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Sciences</style></secondary-title><short-title><style face="normal" font="default" size="100%">Applied Sciences</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">9/2022</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">MDPI</style></publisher><volume><style face="normal" font="default" size="100%">12</style></volume><issue><style face="normal" font="default" size="100%">18</style></issue></record></records></xml>