The first MICCAI challenge on PET tumor segmentation
Introduction Automatic functional volume segmentation in PET images is a challenge that
has been addressed using a large array of methods. A major limitation for the field has been …
has been addressed using a large array of methods. A major limitation for the field has been …
[图书][B] Computer vision: A reference guide
K Ikeuchi - 2021 - Springer
Background The role of a sensor element is to measure incident irradiance and record that
quantity as an image intensity value. However, physical constraints limit the maximum …
quantity as an image intensity value. However, physical constraints limit the maximum …
Joint tumor segmentation in PET-CT images using co-clustering and fusion based on belief functions
Precise delineation of target tumor is a key factor to ensure the effectiveness of radiation
therapy. While hybrid positron emission tomography-computed tomography (PET-CT) has …
therapy. While hybrid positron emission tomography-computed tomography (PET-CT) has …
Gait recognition: Databases, representations, and applications
Background Gait is increasingly used when a person cannot be identified by more
conventional means: in the recent high-profile Hatton Gardens robbery in the UK,“Basil” …
conventional means: in the recent high-profile Hatton Gardens robbery in the UK,“Basil” …
Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method
Purpose Sphericity has been proposed as a parameter for characterizing PET tumour
volumes, with complementary prognostic value with respect to SUV and volume in both …
volumes, with complementary prognostic value with respect to SUV and volume in both …
Gesture recognition
M Turk, V Athitsos - Computer vision: A reference guide, 2021 - Springer
Background Gait is increasingly used when a person cannot be identified by more
conventional means: in the recent high-profile Hatton Gardens robbery in the UK,“Basil” …
conventional means: in the recent high-profile Hatton Gardens robbery in the UK,“Basil” …
Active contours driven by divergence of gradient vector flow
Q Li, T Deng, W Xie - Signal Processing, 2016 - Elsevier
Gradient vector flow (GVF) is an important and widely used external force field for snake
evolution. Due to difficulties in evolving over saddle points and stationary points of GVF field …
evolution. Due to difficulties in evolving over saddle points and stationary points of GVF field …
Image segmentation using active contours with hessian-based gradient vector flow external force
Q Qian, K Cheng, W Qian, Q Deng, Y Wang - Sensors, 2022 - mdpi.com
The gradient vector flow (GVF) model has been widely used in the field of computer image
segmentation. In order to achieve better results in image processing, there are many …
segmentation. In order to achieve better results in image processing, there are many …
Improved TV image denoising over inverse gradient
M Li, G Cai, S Bi, X Zhang - Symmetry, 2023 - mdpi.com
Noise in an image can affect one's extraction of image information, therefore, image
denoising is an important image pre-processing process. Many of the existing models have …
denoising is an important image pre-processing process. Many of the existing models have …
Segmentation of medical images using mean value guided contour
AA Kiaei, H Khotanlou - Medical Image Analysis, 2017 - Elsevier
Partial differential equation-based (PDE-based) methods are extensively used in image
segmentation, especially in contour models. Difficulties associated with the boundaries …
segmentation, especially in contour models. Difficulties associated with the boundaries …