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Ish: GDNet: A Robust 2.5D Multimodal MRI Brain Tumor Segmentation Framework with EMA Stabilization and Tumor-Aware Sampling
A survey on deep learning in medical image analysis
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6
Sharh maqolaOchiq kirish201730 iqtibosABInnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl +2
MaqolaOchiq kirish202012 iqtibosABIFocal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick +2
Preprint201711 iqtibosABIThe Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern Menze, András Jakab, Stefan Bauer +65
Sharh maqolaOchiq kirish20148 iqtibosABIUNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
MaqolaOchiq kirish20228 iqtibosABIThe 2021 WHO Classification of Tumors of the Central Nervous System: a summary
David N. Louis, Arie Perry, Pieter Wesseling +10
Sharh maqolaOchiq kirish20218 iqtibosABIAdvancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras +6
MaqolaOchiq kirish20174 iqtibosABI