Jan 11, 2021 · We propose a novel deep-learning based method for tumor brain image recovery. Specifically, a two-stage generative adversarial network comprising a region ...
We propose a novel deep-learning based method for tumor brain image recovery. Specifically, a two-stage generative adversarial network comprising a region ...
Transfer Learning (TL) along with fully convolutional network on VGG-19 model is deployed to perform the tasks like detection of tumor and the segmentation in ...
Two-stage Generative Adversarial Recovery Network for MR Brain Images Containing Tumors. Publication type: Conference Proceeding. DOI: 10.1145/3431943.3432280 ...
Apr 17, 2023 · This method inputs the modalities generated by CASP-GAN and the real modalities into the segmentation network for brain tumor segmentation.
Missing: Recovery | Show results with:Recovery
Feb 16, 2024 · We evaluated the impact of training set size on generative adversarial networks (GANs) to synthesize brain MRI sequences.
We propose a multi-modal MRI fusion generative adversarial network (BTMF-GAN) for the task of multi-modal MRI fusion of brain tumors.
Jan 18, 2024 · The segmentation model, namely DeepMedic, was trained in a five-fold cross-validation manner for brain tumor segmentation and tested using the ...
Mar 9, 2021 · Brain MRI scans generated using generative adversarial networks can be used as deep learning model inputs in case MRI sequences are missing.
Apr 17, 2023 · This method inputs the modalities generated by CASP-GAN and the real modalities into the segmentation network for brain tumor segmentation.