Artificial intelligence in radiation...
AIRT (Workshop) (2019 :)

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  • Artificial intelligence in radiation therapy = first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Artificial intelligence in radiation therapy/ edited by Dan Nguyen, Lei Xing, Steve Jiang.
    其他題名: first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019 : proceedings /
    其他題名: AIRT 2019
    其他作者: Nguyen, Dan.
    團體作者: AIRT (Workshop)
    出版者: Cham :Springer International Publishing : : 2019.,
    面頁冊數: xi, 172 p. :ill. (some col.), digital ;24 cm.
    內容註: Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy -- Feasibility of CT-only 3D dose prediction for VMAT prostate plans using deep learning -- Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency -- 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network -- Toward markerless image-guided radiotherapy using deep learning for prostate cancer -- A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network -- A Novel Deep Learning Framework for Standardizing the Label of OARs in CT -- Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery -- Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions -- Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach -- One-dimensional convolutional network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning -- Unpaired Synthetic Image Generation in Radiology Using GANs -- Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study -- Individualized 3D Dose Distribution Prediction Using Deep Learning -- Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy -- Dose Distribution Prediction for Optimal Treatment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma -- DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy -- UC-GAN for MR to CT Image Synthesis -- CBCT-based Synthetic MRI Generation for CBCT-guided Adaptive Radiotherapy -- Cardio-pulmonary Substructure Segmentation of CT images using Convolutional Neural Networks.
    Contained By: Springer eBooks
    標題: Artificial intelligence - Medical applications -
    電子資源: https://doi.org/10.1007/978-3-030-32486-5
    ISBN: 9783030324865
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W9393702 電子資源 11.線上閱覽_V 電子書 EB R859.7.A78 A57 2019 一般使用(Normal) 在架 0
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