机构

• 自动化研究所 [5]
• 沈阳自动化研究所 [2]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [8]

内容类型

• 期刊论文 [5]
• 会议论文 [3]

发表日期

• 2023 [2]
• 2021 [3]
• 2018 [2]
• 2016 [1]

学科主题

筛选

浏览/检索结果: 共8条，第1-8条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Brain Tumor Segmentation Algorithm Based on Multi-scale Deep Learning Networks 会议论文  OAI收割 Chongqing, China, 2023-11-17 作者:  Qiu, Shi;  Wang, Xin;  Huang, Yao;  Zhang, Benvue;  Guo, Bolin   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/07/23 Brain Tumor  Segmentation  Multi-scale  Deep Learning   Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908 作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23 Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge   ERV-Net: An efficient 3D residual neural network for brain tumor segmentation 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 170, 页码: 13 作者:  Zhou, Xinyu;  Li, Xuanya;  Hu, Kai;  Zhang, Yuan;  Chen, Zhineng   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/05/06 Brain tumor segmentation  3D convolutional neural network  Encoder-decoder  Efficiency  Lightweight  Residual block   GammaNet: An intensity-invariance deep neural network for computer-aided brain tumor segmentation 期刊论文  OAI收割 Optik, 2021, 卷号: 243, 页码: 1-9 作者:  Huang Z(黄钲);  Liu YH(刘云会);  Song GL(宋国立);  Zhao YW(赵忆文)   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/06/27 Adaptive gamma correction  Attention  Brain tumor segmentation  GammaNet  Intensity invariance   GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation 期刊论文  OAI收割 Biomedical Signal Processing and Control, 2021, 卷号: 70, 页码: 1-12 作者:  Huang Z(黄钲);  Zhao YW(赵忆文);  Liu YH(刘云会);  Song GL(宋国立)   |  收藏  |  浏览/下载：32/0  |  提交时间：2021/08/03 Brain tumor segmentation  Cross-channel attention  Residual Unet  2000 MSC  41A05  41A10  65D05  65D17   A deep learning model integrating FCNNs and CRFs for brain tumor segmentation 期刊论文  OAI收割 MEDICAL IMAGE ANALYSIS, 2018, 卷号: 43, 期号: 43, 页码: 98-111 作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo   |  收藏  |  浏览/下载：52/0  |  提交时间：2018/01/04 Brain Tumor Segmentation  Fully Convolutional Neural Networks  Conditional Random Fields  Deep Learning   3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs 会议论文  OAI收割 Quebec City, QC, Canada, 2017-09 作者:  Zhao XM(赵晓梅);  Wu YH(吴毅红);  Song Guidong;  Li Zhenye;  Zhang Yazhuo   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/05/07 Brain Tumor Segmentation  Fully Convolutional Neural Networks  3d Conditional Random Fields  Multi-views   Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields 会议论文  OAI收割 Athens, Greece, 2016-10 作者:  Zhao XM(赵晓梅);  Wu YH(吴毅红);  Song Guidong;  Li Zhenye;  Fan Y(范勇)   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/05/07 Brain Tumor Segmentation  Magnetic Resonance Image  Fully Convolutional Neural Network  Conditional Random Fields  Recurrent Neural Network