Работы, цитирующие эту работу

Работ: 2

Работа: Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

1. Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison

   Santiago Cepeda, Roberto Romero-Oraá, Lidia Luque +19

   СтатьяGlioma Diagnosis and TreatmentNeuro-Oncology Advances2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000642

2. Brain tumor segmentation capabilities of 3D deep learning architectures (U-Net, V-Net, Attention U-Net, ResNet-based U-Net, Transformer-based model)

   Otabek Puldajoov, Pooja Pooja, Ambuj Aggarwal

   СтатьяBrain Tumor Detection and ClassificationNeural Computing and Applications2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002380