LAB-IA-UFBA/myeloma-dataset

# Multiple Myeloma Dataset

First and foremost, thanks for your interest in using our dataset with labeled cells design to support the detection of Plasma Cells.

This repository contains images of different cells, including Plasma ones, collected from histological slides of bone marrow aspirate stained with Wright-Giem. Moreover, we also shared a Deep Neural Network trained to help diagnose Multiple Myeloma (MM), a plasma cell oncohematology with the highest incidence, which is more frequent in individuals over 50 years old. According to the International Agency for Research on Cancer of the World Health Organization (WHO), in 2020, MM was responsible for 176,404 new cases and 117,077 deaths of patients of both sexes.

原始信息汇总

Multiple Myeloma Dataset

数据集概述

• 数据类型: 包含不同细胞类型的图像，特别是浆细胞（Plasma Cells）。
• 数据来源: 来自骨髓抽吸物的组织学切片，使用Wright-Giem染色。
• 应用领域: 支持浆细胞的检测，用于多发性骨髓瘤（Multiple Myeloma, MM）的诊断。

数据集内容

• 图像数据: 包含不同细胞类型的图像，包括浆细胞。
• 深度神经网络模型: 提供了一个经过训练的深度神经网络模型，用于辅助诊断多发性骨髓瘤。

相关信息

• 多发性骨髓瘤: 一种浆细胞血液肿瘤，发病率最高，尤其在50岁以上人群中更为常见。
• 统计数据: 根据世界卫生组织国际癌症研究机构（WHO）的数据，2020年多发性骨髓瘤导致176,404例新病例和117,077例死亡。