Multi-level multi-modality fusion radiomics: application to PET and CT imaging for prognostication of head and neck cancer

W Lv, S Ashrafinia, J Ma, L Lu… - IEEE journal of …, 2019 - ieeexplore.ieee.org
… To the best of our knowledge, multi-modality fusion radiomics features from different levels
have not been comprehensively investigated and compared in prognostic tasks. Thus, in the …

Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation

L Bi, M Fulham, N Li, Q Liu, S Song, DD Feng… - Computer Methods and …, 2021 - Elsevier
… multiple recurrent fusion phases allows the iterative re-use of multi-modality image features
… alone was used as the input to the first VNet and a fused PET-CT image as the input to the …

Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma

M Amini, M Nazari, I Shiri, G Hajianfar… - Physics in medicine …, 2021 - iopscience.iop.org
… Overall, our results showed that PET/CT multi-modality radiomics models can provide …
with only PET or CT scans for NSCLC OS prognostication. At the same time, image-level fusion

A MEDICAL MULTI-MODALITY IMAGE FUSION OF CT/PET WITH PCA, DWT METHODS.

S Guruprasad, MZ Kurian… - Journal of Dental …, 2013 - search.ebscohost.com
fusion of different modality images like PET and CT (Positron Emission Tomography & Computed
Tomography… applied with the IDWT to get fused image information. Before that, choose …

Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation

J Ren, JG Eriksen, J Nijkamp, SS Korreman - Acta Oncologica, 2021 - Taylor & Francis
… Even though the GTV size is big ( 35.5 c m 3 ), CT-MRI still predicts a smaller volume … CT
images did not affect multi-modality UNet since tumor features were present in other imaging

Improving PET-CT image segmentation via deep multi-modality data augmentation

K Cao, L Bi, D Feng, J Kim - Machine Learning for Medical Image …, 2020 - Springer
… synthesis methods cannot be directly applied to multi-modality PET-CT images where there
… propose a multi-modality image synthesis method for data augmentation of PET-CT images. …

Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network

X Zhao, L Li, W Lu, S Tan - Physics in Medicine & Biology, 2018 - iopscience.iop.org
… integrating PET and CT into the same utility. In this study, we proposed a novel multi-modality
of taking account of both PET and CT information simultaneously for tumor segmentation. …

Latest trends in multi-modality medical image fusion: A generic review

K Joshi, M Kumar, A Tripathi, A Kumar, J Sehgal… - Rising Threats in Expert …, 2022 - Springer
… of image fusion, (2) the modalities of imaging, along with (3) the under-study organ imaging.
… with the working of multi modality fusion of medical images in terms of future perspective. …

[HTML][HTML] Multi-modality nuclear medicine imaging: artefacts, pitfalls and recommendations

JA van Dalen, WV Vogel, FHM Corstens… - … Imaging, 2007 - ncbi.nlm.nih.gov
Multi-modality imaging is rapidly becoming an essential tool in oncology. … imaging is seen
in the rapid evolution of hybrid positron emission tomography (PET)/computed tomography (CT

Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients

W Mu, J Qi, H Lu, M Schabath… - … -Aided Diagnosis, 2018 - spiedigitallibrary.org
… the features calculated from original PET/CT images, and G2 was selected from the features
calculated from the original PET/CT plus fusion images (hereafter denoted by fused PET/…