4.5 Article

Fully automatic brain tumor segmentation for 3D evaluation in augmented reality

Related references

Note: Only part of the references are listed.
Article Clinical Neurology

Holographic patient tracking after bed movement for augmented reality neuronavigation using a head-mounted display

T. Fick et al.

Summary: This study presents the first use of a holographic neuronavigation system for intraoperative patient tracking, demonstrating the potential for improving spatial anatomical understanding for surgeons during surgery. Further optimization of navigation accuracy is needed for clinical applicability.

ACTA NEUROCHIRURGICA (2021)

Review Engineering, Biomedical

Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study

Samireh Badrigilan et al.

Summary: This study analyzed studies related to segmentation and classification of head and neck cancers (HNCs) and brain tumors in MRI images using statistical methods. The results showed that DL models performed well in segmenting complete tumors and classifying three types of glioma, meningioma, and pituitary tumors with high accuracies.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2021)

Article Computer Science, Artificial Intelligence

Brain tumor segmentation with deep convolutional symmetric neural network

Hao Chen et al.

NEUROCOMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Ling Zhang et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Medicine, General & Internal

Information Recall in Pre-Operative Consultation for Glioma Surgery Using Actual Size Three-Dimensional Models

Sumeyye Sezer et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Biology

A novel end-to-end brain tumor segmentation method using improved fully convolutional networks

Haichun Li et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

Article Computer Science, Artificial Intelligence

MMAN: Multi-modality aggregation network for brain segmentation from MR images

Jingcong Li et al.

NEUROCOMPUTING (2019)

Article Clinical Neurology

Clinical Accuracy of Holographic Navigation Using Point-Based Registration on Augmented-Reality Glasses

Tristan P. C. van Doormaal et al.

OPERATIVE NEUROSURGERY (2019)

Article Engineering, Biomedical

A deep learning model integrating SK-TPCNN and random forests for brain tumor segmentation in MRI

Tiejun Yang et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)

Article Mathematical & Computational Biology

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Guotai Wang et al.

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Automatic glioma segmentation based on adaptive superpixel

Yaping Wu et al.

BMC MEDICAL IMAGING (2019)

Article Dentistry, Oral Surgery & Medicine

Does postoperative orbital volume predict postoperative globe malposition after blow-out fracture reconstruction? A 6-month clinical follow-up study

Johanna Snall et al.

ORAL AND MAXILLOFACIAL SURGERY-HEIDELBERG (2019)

Article Computer Science, Software Engineering

Automated brain tumor segmentation on multi-modal MR image using SegNet

Salma Alqazzaz et al.

COMPUTATIONAL VISUAL MEDIA (2019)

Article Computer Science, Information Systems

Multi-Classification of Brain Tumor Images Using Deep Neural Network

Hossam H. Sultan et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Xiaomei Zhao et al.

MEDICAL IMAGE ANALYSIS (2018)

Article Computer Science, Artificial Intelligence

Segmentation of glioma tumors in brain using deep convolutional neural network

Saddam Hussain et al.

NEUROCOMPUTING (2018)

Article Health Care Sciences & Services

Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network

Shaoguo Cui et al.

JOURNAL OF HEALTHCARE ENGINEERING (2018)

Article Dentistry, Oral Surgery & Medicine

Primary reconstruction of orbital fractures using patient-specific titanium milled implants: the Helsinki protocol

M. Karkkainen et al.

BRITISH JOURNAL OF ORAL & MAXILLOFACIAL SURGERY (2018)

Article Computer Science, Interdisciplinary Applications

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images

Mostefa Ben Naceur et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Clinical Neurology

Development of a Mixed Reality Platform for Lateral Skull Base Anatomy

Jonathan L. McJunkin et al.

OTOLOGY & NEUROTOLOGY (2018)

Review Clinical Neurology

Utilizing virtual and augmented reality for educational and clinical enhancements in neurosurgery

Panayiotis E. Pelargos et al.

JOURNAL OF CLINICAL NEUROSCIENCE (2017)

Article Computer Science, Artificial Intelligence

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Konstantinos Kamnitsas et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Brain tumor segmentation using holistically nested neural networks in MRI images

Ying Zhuge et al.

MEDICAL PHYSICS (2017)

Article Mathematical & Computational Biology

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Adrienne M. Mendrik et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2015)

Article Clinical Neurology

Mono-Stereo-Autostereo: The Evolution of 3-Dimensional Neurosurgical Planning

Axel T. Stadie et al.

NEUROSURGERY (2013)

Article Dentistry, Oral Surgery & Medicine

Three-Dimensional Treatment Planning of Orthognathic Surgery in the Era of Virtual Imaging

Gwen R. J. Swennen et al.

JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY (2009)