The purpose of this study is to evaluate the effect of artificial intelligence systems used during colonoscopy on the detection of precancerous polyps in the colon.

NIAID Data Ecosystem40

Radiomics enhanced data.

放射学诊断

肺腺癌鉴别

PurposeTo develop a better radiomic model for the differential diagnosis of benign and lung adenocarcinoma lesions presenting as larger solid nodules and masses based on multiscale computed tomography

Figshare2024-10-04 更新30

universitytehran/MRI-GBM-MET

脑肿瘤分类

放射学诊断

MRI-GBM-MET数据集是一个包含90名人类受试者的轴向脑部MRI扫描集合，这些受试者被诊断为胶质母细胞瘤（GBM）或脑转移瘤（MET）。该数据集旨在支持医学图像分类、诊断研究和多模态评估任务。所有受试者级别的诊断标签均经过组织病理学确认（术后活检或切除），并完全独立于放射学掩模。数据集包括由经过认证的神经放射科医生进行的像素级专家注释，用于识别包含病变的切片。数据集提供四种配置：完整体积序列

Hugging Face2026-06-20 更新60

Global accuracy with more clients.

无线联邦学习优化

医疗影像分析

In recent years, Federated Learning (FL) has gained traction as a privacy-centric approach in medical imaging. This study explores the challenges posed by data heterogeneity on FL algorithms, using th

Figshare2024-05-15 更新40

MFT Radiology dataset.docx

资源简介：

相关数据集