Robust and Secure Multi-center Head and Neck Cancer Segmentation
H Chung, JS Lee - 2024 - Soc Nuclear Med
241523 Introduction: Precise segmentation of head and neck cancer is essential for
successful radiotherapy planning, treatment monitoring, and so on. However, because of the …
successful radiotherapy planning, treatment monitoring, and so on. However, because of the …
Segmenting Head-Neck Tumors on PET Images with 2.5 D-3D Hybrid Models
3199 Introduction: The purpose of this work is to segment the Head and Neck Tumors in the
whole-body PET images. The results will be useful for doctors9 diagnosis and localization …
whole-body PET images. The results will be useful for doctors9 diagnosis and localization …
[HTML][HTML] Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework
Purpose The generalizability and trustworthiness of deep learning (DL)–based algorithms
depend on the size and heterogeneity of training datasets. However, because of patient …
depend on the size and heterogeneity of training datasets. However, because of patient …
[图书][B] Oropharyngeal tumour segmentation using ensemble 3D PET-CT fusion networks for the HECKTOR challenge
Automatic segmentation of tumours and organs at risk can function as a useful support tool
in radiotherapy treatment planning as well as for validating radiomics studies on larger …
in radiotherapy treatment planning as well as for validating radiomics studies on larger …
PET normalizations to improve deep learning auto-segmentation of head and neck tumors in 3D PET/CT
Auto-segmentation of head and neck cancer (HNC) primary gross tumor volume (GTVt) is a
necessary but challenging process for radiotherapy treatment planning and radiomics …
necessary but challenging process for radiotherapy treatment planning and radiomics …
[PDF][PDF] 3D PET/CT
SS Korreman - researchgate.net
Auto-segmentation of head and neck cancer (HNC) primary gross tumor volume (GTVt) is a
necessary but challenging process for radiotherapy treatment planning and radiomics …
necessary but challenging process for radiotherapy treatment planning and radiomics …
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge
Automatic segmentation of tumours and organs at risk can function as a useful support tool
in radiotherapy treatment planning as well as for validating radiomics studies on larger …
in radiotherapy treatment planning as well as for validating radiomics studies on larger …
Poster: Head and Neck Tumor Segmentation With Sliced 3D PET Scans
N Gruteser - 2022 IEEE/ACM Conference on Connected Health …, 2022 - ieeexplore.ieee.org
We present a semi-automatic 3D segmentation technique for head and neck tumors in PET
Scans. First, we slice the 3D PET Scans into 2D images and separate the slices into slices …
Scans. First, we slice the 3D PET Scans into 2D images and separate the slices into slices …
Multi-institutional PET/CT image segmentation using a decentralized federated deep transformer learning algorithm
3348 Introduction: Large heterogenous multicentric data sets are indispensable to build a
generalizable deep learning model for PET/CT image segmentation. However, legal, ethical …
generalizable deep learning model for PET/CT image segmentation. However, legal, ethical …
Combining nnUNet and AutoML for automatic head and neck tumor segmentation and recurrence-free survival prediction in PET/CT images
Q Lyu - 3D Head and Neck Tumor Segmentation in PET/CT …, 2022 - Springer
Head and neck (H &N) tumor segmentation from FDG-PET/CT images has a significant
impact on radiotherapy diagnosis. However, manual delineation of primary tumor and lymph …
impact on radiotherapy diagnosis. However, manual delineation of primary tumor and lymph …