首页/数据集/Results of the improved attention and upsample part on LUNG-PET-CT-DX.

Results of the improved attention and upsample part on LUNG-PET-CT-DX.

Figshare2025-09-04 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Results_of_the_improved_attention_and_upsample_part_on_LUNG-PET-CT-DX_/30056954 数据链接链接失效反馈

官方服务：

资源简介：

Results of the improved attention and upsample part on LUNG-PET-CT-DX.

应用场景：

创建时间：

2025-09-04

相关数据集

cudaLLM-data

高性能计算

深度学习优化

## CudaLLM Dataset A high-quality dataset of PyTorch operator test cases, designed to benchmark and evaluate the capabilities of LLMs in generating optimized CUDA kernels. This dataset provides pairs

魔搭社区2025-12-04 更新740

lung cancer

肺癌影像诊断

PET/CT疗效评估

As a retrospective study, 586 NSCLC patients are included, where patients have received 18F-FDG PET/CT one month prior to treatment at the First Hospital of Chongqing Medical University from January 2

DataCite Commons2024-11-29 更新60

Classification report of Enhanced DenseNet.

脑肿瘤分类

深度学习优化

Brain tumors pose significant global health concerns due to their high mortality rates and limited treatment options. These tumors, arising from abnormal cell growth within the brain, exhibits various

NIAID Data Ecosystem30

陕西西安某医院肺癌胸部多模态影像数据集

肺癌影像诊断

AI辅助医疗

该数据源为当地某医院日常运营过程中采集治理数据后授权给本公司进行运营，已严格经过脱敏处理，不含敏感隐私数据。该数据集聚焦经病理确诊的肺癌患者，整合术前术后多模态影像资料，涵盖肿瘤大小、形态、侵犯范围、淋巴结转移及远处转移灶等关键结构，数据适用于肺癌早期识别、分型诊断、可切除性评估、疗效预测及AI驱动的个体化诊疗策略研究

贵州省公共数据资源登记平台2026-04-09 更新110

Integration phase structure.

肺癌影像诊断

生存分析模型

Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients’ survival outcomes. In this paper, we propose to employ convolutional neural

Figshare2025-06-11 更新40