Jul 27, 2024 · This study critically evaluates the limitations of existing generative-AI based frameworks for pancreatic tumor segmentation.
Oct 3, 2024 · This study critically evaluates the limitations of existing generative-AI based frameworks for pancreatic tumor segmentation. We conduct a ...
Oct 1, 2024 · This study emphasizes the critical role of high-fidelity and well-controlled synthetic data for achieving superior segmentation results in ...
Optimizing Synthetic Data for Enhanced Pancreatic Tumor ...
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Oct 14, 2024 · Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation ... data with high-quality synthetic data, thus improving the segmentation ...
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. https ... Freetumor: Advance tumor segmentation via large-scale tumor synthesis (2024).
Our findings demonstrate that: (1) strategically selecting a combination of synthetic tumor sizes is crucial for optimal segmentation outcomes, and (2) ...
The official implementation of the paper: Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation Network Paper
Oct 3, 2024 · Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. Linkai Peng. Zheyuan Zhang. Gorkem Durak. Frank H. Miller. Alpay ...
5 days ago · Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation ... Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.
Oct 4, 2024 · This paper introduces an innovative hybrid two-stage U-Net model for segmenting both the pancreas and pancreatic tumors.
Missing: Synthetic | Show results with:Synthetic