SeqSeg: A Sequential Method to Achieve Nasopharyngeal Carcinoma Segmentation Free from Background Dominance

DA-DSUnet: Dual Attention-based Dense SU-net for Automatic Head-and-neck Tumor Segmentation in MRI Images

(2021) Pin Tang et al.   NEUROCOMPUTING

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

(2019) Li Lin et al.   RADIOLOGY

Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI

(2019) Liangliang Liu et al.   NEURAL COMPUTING & APPLICATIONS

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images

(2019) Lijun Zhao et al.   JOURNAL OF DIGITAL IMAGING

Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups

(2019) En-Hong Zhuo et al.   EUROPEAN RADIOLOGY

Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net

(2019) Yunze Man et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications

(2018) Yan Wang et al.   NEURAL PROCESSING LETTERS

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

(2018) Hao Chen et al.   NEUROIMAGE

Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

(2018) Bin Huang et al.   Contrast Media & Molecular Imaging

Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network

(2018) Qiaoliang Li et al.   Biomed Research International

Reducing radiation-related morbidity in the treatment of nasopharyngeal carcinoma

(2017) Jason W Chan et al.   Future Oncology

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

(2017) Kuo Men et al.   Frontiers in Oncology

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

A hybrid supervised learning nasal tumor discrimination system for DMRI

(2012) Wen-Chen Huang et al.   JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS

A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck

(2009) Richard Sims et al.   RADIOTHERAPY AND ONCOLOGY