<?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, Xinyi</style></author><author><style face="normal" font="default" size="100%">Li, Chen</style></author><author><style face="normal" font="default" size="100%">He, Ruilin</style></author><author><style face="normal" font="default" size="100%">Jinzhu Yang</style></author><author><style face="normal" font="default" size="100%">Sun, Hongzan</style></author><author><style face="normal" font="default" size="100%">Jiang, Tao</style></author><author><style face="normal" font="default" size="100%">Grzegorzek, Marcin</style></author><author><style face="normal" font="default" size="100%">Li, Xiaohan</style></author><author><style face="normal" font="default" size="100%">Liu, Chang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CAISHI: A benchmark histopathological H&amp;E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation</style></title><secondary-title><style face="normal" font="default" size="100%">Data in Brief</style></secondary-title><short-title><style face="normal" font="default" size="100%">Data in Brief</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2024</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Elsevier</style></publisher><volume><style face="normal" font="default" size="100%">53</style></volume><pages><style face="normal" font="default" size="100%">110141</style></pages></record></records></xml>