数据链接：
官方服务：
资源简介：
Synthetic brain tumor MRI samples - 2022-09
应用场景：
创建时间：
2022-09-20
相关数据集
Patient clinical data.
Location (F = frontal, T = temporal, P = parietal, PF = posterior fossa, SB = skull base); infiltrated tissues (nd = no identification possible on pathological examination as the tumor removal concern
NIAID Data Ecosystem50
AusCAT Simulation Imaging Data
This data is part of the NCLC Radiomics dataset provided by The Cancer Imaging Archive (TCIA) and is released under the Creative Commons Attribution 3.0 Unported License. CAUTION: This data is provide
Zenodo2023-02-01 更新30
Voxelwise statistical methods to localize practice variation in brain tumor surgery
Purpose During resections of brain tumors, neurosurgeons have to weigh the risk between residual tumor and damage to brain functions. Different perspectives on these risks result in practice variation
NIAID Data Ecosystem20
Imaging characteristics of non-measurable surgical cavity wall enhancement.
Imaging characteristics of non-measurable surgical cavity wall enhancement.
NIAID Data Ecosystem30
The result with a different filter size.
Brain tumors are the most prevalent and life-threatening cancer; an early and accurate diagnosis of brain tumors increases the chances of patient survival and treatment planning. However, manual tumor
Figshare2025-12-15 更新20
