SHIDC-BC-Ki-67

SHIDC-BC-Ki-67数据集由设拉子医科大学的病理专家创建，包含2357张恶性乳腺癌的微观穿刺活检图像，专门针对浸润性导管癌类型。数据集通过免疫组织化学方法对Ki-67标记的细胞进行检测和分类，旨在解决Ki-67评分的主观性和不一致性问题。该数据集的应用领域主要集中在乳腺癌的预后评估和治疗响应预测，通过深度学习方法提高诊断的准确性和效率。

SHIDC-BC-Ki-67 dataset was developed by pathologists from Shiraz University of Medical Sciences. It contains 2,357 microscopic fine-needle aspiration biopsy images of malignant breast cancer, specifically targeting invasive ductal carcinoma. The dataset detects and classifies Ki-67-labeled cells using immunohistochemistry (IHC) methods, with the core objective of addressing the subjectivity and inconsistency associated with Ki-67 scoring. Its primary application fields cover breast cancer prognosis assessment and treatment response prediction, aiming to enhance the accuracy and efficiency of diagnostic practices via deep learning methodologies.

搜集汇总

背景与挑战

背景概述

SHIDC-BC-Ki-67数据集包含2357张恶性乳腺癌微观穿刺活检图像，专门针对浸润性导管癌，通过免疫组织化学方法检测Ki-67标记细胞，旨在解决评分主观性问题。该数据集应用于乳腺癌预后评估和治疗预测，借助深度学习提高诊断准确性和效率。