<?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%">Chen, Ao</style></author><author><style face="normal" font="default" size="100%">Li, Chen</style></author><author><style face="normal" font="default" size="100%">Rahaman, Md Mamunur</style></author><author><style face="normal" font="default" size="100%">Yao, Yudong</style></author><author><style face="normal" font="default" size="100%">Chen, Haoyuan</style></author><author><style face="normal" font="default" size="100%">Yang, Hechen</style></author><author><style face="normal" font="default" size="100%">Zhao, Peng</style></author><author><style face="normal" font="default" size="100%">Hu, Weiming</style></author><author><style face="normal" font="default" size="100%">Liu, Wanli</style></author><author><style face="normal" font="default" size="100%">Zou, Shuojia</style></author><author><style face="normal" font="default" size="100%">Xu, Ning</style></author><author><style face="normal" font="default" size="100%">Grzegorzek, Marcin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Comprehensive Comparative Study of Deep Learning Methods for Noisy Sperm Image Classification: from Convolutional Neural Network to Visual Transformer</style></title><secondary-title><style face="normal" font="default" size="100%">Intelligent Medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><notes><style face="normal" font="default" size="100%">DOI: \href{https://doi.org/10.1016/j.imed.2023.04.001}{10.1016/j.imed.2023.04.001}</style></notes></record></records></xml>