Automatic Segmentation of Head and Neck Cancer from PET|MRI ...

Automatic Segmentation of Head and Neck Cancer from PET-MRI ...

The aim of this study was to assess the applicability of a convolutional neural network in detecting and auto-delineating HNSCC from PET-MRI data.

Head and Neck Cancer Primary Tumor Auto Segmentation Using ...

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology ...

(PDF) Automatic Segmentation of Head and Neck Cancer from PET ...

A convolutional neural network (CNN) can be used to perform fully automatic tumor segmentation from the positron emission tomography (PET) images of head and ...

Automatic segmentation of head and neck primary tumors on MRI ...

An automatic segmentation pipeline was evaluated for primary HNSCC on MRI. The MV-CNN produced reasonable segmentation results, especially on ...

Automatic segmentation of head and neck primary tumors on MRI ...

Accurate segmentation of head and neck squamous cell cancer (HNSCC) is important for radiotherapy treatment planning. Manual segmentation of ...

Automatic segmentation for magnetic resonance imaging guided ...

In 50 HNSCC patients (UMC-Utrecht), individual lymph nodes located in lymph node levels Ib-II-III-IV-V were manually segmented on MRI by ...

Head and neck tumor segmentation in PET/CT: The HECKTOR ...

To this end, the automatic segmentation of H&N Gross Tumor Volume of the primary tumor (GTVt) and the lymph nodes (GTVn) constitutes a highly promising approach ...

Automatic segmentation of Organs at Risk in Head and Neck cancer ...

This study presents a high-performing DL pipeline for segmentation of 30 OARs from MRI and CT scans of Head and Neck (H&N) cancer patients.

Auto-segmentation of head and neck tumors in positron emission ...

HNC tumor segmentation in PET images is a critical aspect of medical imaging. The ability to accurately and precisely segment HNC tumors in PET images is ...

Automatic Segmentation of Head and Neck Tumors and Nodal ...

In this paper, we propose an automatic segmentation of Head and Neck (H$&$N) tumors and nodal metastases from FDG-PET and CT images. A fully-convolutional ...

Automatic segmentation for magnetic resonance imaging guided ...

In head and neck squamous cell carcinoma (HNSCC) patients, the radiation dose to nearby organs at risk can be reduced by restricting ...

Fully Automated Segmentation-Free Outcome Prediction for Head ...

Fully Automated Segmentation-Free Outcome Prediction for Head and Neck Cancer Using Multi-Angle Maximum Intensity Projections (MA-MIPS) of FDG- ...

Automatic Head and Neck Tumor Segmentation in PET/CT with ...

Abstract. Automatic segmentation is an essential but challenging step for extracting quantitative imaging bio-markers for characterizing head and neck tumor in ...

[PDF] Automatic Segmentation of Head and Neck Tumors and Nodal ...

An automatic segmentation of Head and Neck tumors and nodal metastases from FDG-PET and CT images using a fully-convolutional network trained on PET-CT ...

Automatic segmentation of Organs at Risk in Head and Neck cancer ...

The proposed pipeline can effectively segment a wide range of OAR in H&N cancer patients from CT and MRI scans. It achieved the highest mean ...

Information fusion for fully automated segmentation of head and ...

Our study aimed to assess the performance of PET and CT image fusion for gross tumor volume (GTV) segmentations of head and neck cancers (HNCs)

Segmentation-Free Outcome Prediction from Head and Neck ... - MDPI

We introduce an innovative, simple, effective segmentation-free approach for survival analysis of head and neck cancer (HNC) patients from PET/CT images.

Automatic Head and Neck Tumor Segmentation in PET/CT with ...

Automatic segmentation is an essential but challenging step for extracting quantitative imaging bio-markers for characterizing head and neck ...

Auto-segmentation of neck nodal metastases using self-distilled ...

In addition, quantitative imaging biomarkers (QIBs) obtained from segmented regions of interest (ROIs) on MR images of head and neck cancer (HNC) provide unique ...

Automatic gross tumor segmentation of canine head and neck ...

The manual contouring was based on both FDG PET and contrast-enhanced CT images. First, the GTV was contoured by an experienced nuclear medicine ...