Incorporating prior knowledge in medical image segmentation: a survey
MS Nosrati, G Hamarneh - arXiv preprint arXiv:1607.01092, 2016 - arxiv.org
Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …
important step toward automating medical image analysis and is at the crux of a variety of …
Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size
CT is commonly used in orthopedic procedures. MRI is used along with CT to identify
muscle structures and diagnose osteonecrosis due to its superior soft tissue contrast …
muscle structures and diagnose osteonecrosis due to its superior soft tissue contrast …
A survey on shape correspondence
We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …
represented by triangle meshes, contours or point sets. This survey is motivated in part by …
[图书][B] Computer vision metrics: Survey, taxonomy, and analysis
S Krig - 2014 - library.oapen.org
This work focuses on a slice through the field-Computer Vision Metrics–from the view of
feature description metrics, or how to describe, compute and design the macro-features and …
feature description metrics, or how to describe, compute and design the macro-features and …
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
G Hamarneh, P Jassi - Computerized medical imaging and graphics, 2010 - Elsevier
Automated segmentation and analysis of tree-like structures from 3D medical images are
important for many medical applications, such as those dealing with blood vasculature or …
important for many medical applications, such as those dealing with blood vasculature or …
Generative adversarial networks in medical image processing
M Gong, S Chen, Q Chen, Y Zeng… - Current pharmaceutical …, 2021 - ingentaconnect.com
Background: The emergence of generative adversarial networks (GANs) has provided new
technology and framework for the application of medical images. Specifically, a GAN …
technology and framework for the application of medical images. Specifically, a GAN …
Generative adversarial networks to segment skin lesions
S Izadi, Z Mirikharaji, J Kawahara… - 2018 IEEE 15Th …, 2018 - ieeexplore.ieee.org
The accuracy of skin lesion segmentation has increased in recent years, thanks to advances
in machine learning techniques and a large influx of dermoscopy images. However, there is …
in machine learning techniques and a large influx of dermoscopy images. However, there is …
[图书][B] Computer vision metrics
S Krig - 2016 - Springer
Scott Krig Textbook Edition Survey, Taxonomy and Analysis of Computer Vision, Visual
Neuroscience, and Deep Learning Page 1 Computer Vision Metrics Scott Krig Textbook Edition …
Neuroscience, and Deep Learning Page 1 Computer Vision Metrics Scott Krig Textbook Edition …
Mask2Lesion: Mask-constrained adversarial skin lesion image synthesis
K Abhishek, G Hamarneh - … workshop on simulation and synthesis in …, 2019 - Springer
Skin lesion segmentation is a vital task in skin cancer diagnosis and further treatment.
Although deep learning based approaches have significantly improved the segmentation …
Although deep learning based approaches have significantly improved the segmentation …
Medical image registration: A review
620 Medical Imaging example, provide structural information of our body (eg, an anatomical
map), but do not convey functional information*(ie, relating to metabolic functions of an …
map), but do not convey functional information*(ie, relating to metabolic functions of an …