Работы, цитирующие эту работу

Работ: 6

Работа: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

1. High-resolution segmentation of brain tumors based on MRI images using a hybrid deep learning approach

   Furkat Bolikulov, Kudratjon Zohirov, Latif Xuramov +3

   СтатьяBrain Tumor Detection and ClassificationBiomedical Signal Processing and Control2026Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.article.000442

2. Mask region-based convolutional neural network and VGG-16 inspired brain tumor segmentation

   Niha Kamal Basha, Christo Ananth, N. Muthukumaran +3

   СтатьяBrain Tumor Detection and ClassificationScientific Reports2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000427

3. 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

4. CNN-based segmentation methods in medical imaging

   Khurram Tangirov, Mirkamol Alimov, Islom Mengliyev +1

   СтатьяBrain Tumor Detection and ClassificationAIP conference proceedings2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008882

5. Automated Classification and Segmentation of Brain Tumors on MRI Images Using Superpixel-Based Machine Learning

   Nadezhda Shchegoleva, Nadezhda Pronina, N. M. Zalutskaya +1

   ГлаваBrain Tumor Detection and ClassificationLecture notes in computer science2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.chapter.000365

6. Brain Tumor Segmentation with Contextual Transformer-Based U-Net

   Shakhnoza Muksimova, Jushkin Baltaev, Young Im Cho

   СтатьяAdvanced Neural Network ApplicationsElectronics2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.003768