PetHIS

The data originates from the Laboratory of Veterinary Medicine of the State University of Maranhão as part of a research project conducted at a Federal Institute of Maranhão. The histopathological image database was created to train CNN models for pet cancer classification. The image database was created from 82 original images that were enlarged using data augmentation such as vertical flip, horizontal flip, and random crop(px(0.50)), totaling 592 histopathological images divided into benign and malignant.本数据集源自马拉尼昂州立大学兽医学实验室，系马拉尼昂联邦研究所某项研究项目的组成部分。该组织病理学图像数据库专为训练卷积神经网络（Convolutional Neural Network, CNN）模型以实现宠物癌症分类而构建。该图像数据库以82张原始图像为基础，通过垂直翻转、水平翻转、随机裁剪（像素比例0.50）等数据增强手段进行扩增，最终得到共计592张组织病理学图像，并分为良性与恶性两类。