Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images
This paper presents an overview of the second edition of the HEad and neCK TumOR
(HECKTOR) challenge, organized as a satellite event of the 24th International Conference …
(HECKTOR) challenge, organized as a satellite event of the 24th International Conference …
Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers
Cancers, known collectively as head and neck cancers, usually begin in the squamous cells
that line the head and neck's mucosal surfaces, forming a tumour mass. It usually develops …
that line the head and neck's mucosal surfaces, forming a tumour mass. It usually develops …
[HTML][HTML] Automatic head and neck tumor segmentation and outcome prediction relying on FDG-PET/CT images: findings from the second edition of the HECKTOR …
By focusing on metabolic and morphological tissue properties respectively,
FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed …
FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed …
Simplicity is all you need: out-of-the-box nnUNet followed by binary-weighted radiomic model for segmentation and outcome prediction in head and neck PET/CT
Automated lesion detection and segmentation might assist radiation therapy planning and
contribute to the identification of prognostic image-based biomarkers towards personalized …
contribute to the identification of prognostic image-based biomarkers towards personalized …
[HTML][HTML] Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer
Abstract Background and Objective Recently, deep learning (DL) algorithms showed to be
promising in predicting outcomes such as distant metastasis-free survival (DMFS) and …
promising in predicting outcomes such as distant metastasis-free survival (DMFS) and …
Radiomics-enhanced deep multi-task learning for outcome prediction in head and neck cancer
Outcome prediction is crucial for head and neck cancer patients as it can provide prognostic
information for early treatment planning. Radiomics methods have been widely used for …
information for early treatment planning. Radiomics methods have been widely used for …
Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: Investigating ComBat strategies, sub-volume characterization, and …
H Xu, N Abdallah, JM Marion, P Chauvet… - European Journal of …, 2023 - Springer
Purpose This study aimed to investigate the impact of several ComBat harmonization
strategies, intra-tumoral sub-volume characterization, and automatic segmentations for …
strategies, intra-tumoral sub-volume characterization, and automatic segmentations for …
Segmentation-free outcome prediction from head and neck cancer PET/CT images: Deep learning-based feature extraction from Multi-Angle Maximum Intensity …
Simple Summary Head and neck cancer is a serious health concern that affects millions of
people across the globe. Predicting how patients will respond to therapy is critical for …
people across the globe. Predicting how patients will respond to therapy is critical for …
Longitudinal and multimodal radiomics models for head and neck cancer outcome prediction
Simple Summary Machine learning based radiomics models for prediction of loco-regional
recurrence today mostly rely on features extracted from pre-treatment imaging data. In this …
recurrence today mostly rely on features extracted from pre-treatment imaging data. In this …
[HTML][HTML] Functional-structural sub-region graph convolutional network (FSGCN): application to the prognosis of head and neck cancer with PET/CT imaging
W Lv, Z Zhou, J Peng, L Peng, G Lin, H Wu… - Computer Methods and …, 2023 - Elsevier
Background and objective Accurate risk stratification is crucial for enabling personalized
treatment for head and neck cancer (HNC). Current PET/CT image-based prognostic …
treatment for head and neck cancer (HNC). Current PET/CT image-based prognostic …