A review on segmentation of positron emission tomography images

B Foster, U Bagci, A Mansoor, Z Xu… - Computers in biology and …, 2014 - Elsevier
Abstract Positron Emission Tomography (PET), a non-invasive functional imaging method at
the molecular level, images the distribution of biologically targeted radiotracers with high …

A survey on artificial intelligence in histopathology image analysis

MM Abdelsamea, U Zidan, Z Senousy… - … : Data Mining and …, 2022 - Wiley Online Library
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …

Positron emission tomography (PET) in oncology

A Gallamini, C Zwarthoed, A Borra - Cancers, 2014 - mdpi.com
Since its introduction in the early nineties as a promising functional imaging technique in the
management of neoplastic disorders, FDG-PET, and subsequently FDG-PET/CT, has …

Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211

M Hatt, JA Lee, CR Schmidtlein, IE Naqa… - Medical …, 2017 - Wiley Online Library
Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …

PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques

H Zaidi, I El Naqa - European journal of nuclear medicine and molecular …, 2010 - Springer
Historically, anatomical CT and MR images were used to delineate the gross tumour
volumes (GTVs) for radiotherapy treatment planning. The capabilities offered by modern …

On the performance of lung nodule detection, segmentation and classification

D Gu, G Liu, Z Xue - Computerized Medical Imaging and Graphics, 2021 - Elsevier
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …

Time to prepare for risk adaptation in lymphoma by standardizing measurement of metabolic tumor burden

SF Barrington, M Meignan - Journal of Nuclear Medicine, 2019 - Soc Nuclear Med
Increased tumor burden is associated with inferior outcomes in many lymphoma subtypes.
Surrogates of tumor burden that are easy to measure, such as the maximum tumor …

A survey of fuzzy clustering validity evaluation methods

HY Wang, JS Wang, G Wang - Information Sciences, 2022 - Elsevier
As an unsupervised learning method, clustering does not need to know prior knowledge of
the datasets in advance. How determining the optimal number of clusters becomes an …

Random walk and graph cut for co-segmentation of lung tumor on PET-CT images

W Ju, D Xiang, B Zhang, L Wang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Accurate lung tumor delineation plays an important role in radiotherapy treatment planning.
Since the lung tumor has poor boundary in positron emission tomography (PET) images and …

Clinical application of AI-based PET images in oncological patients

J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …