Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model
We present an automatic method to segment brain tissues from volumetric MRI brain tumor
images. The method is based on non-rigid registration of an average atlas in combination …
images. The method is based on non-rigid registration of an average atlas in combination …
Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm
The challenge of modelling cancer presents a major opportunity to improve our ability to
reduce mortality from malignant neoplasms, improve treatments and meet the demands …
reduce mortality from malignant neoplasms, improve treatments and meet the demands …
[HTML][HTML] Exploiting clinical trial data drastically narrows the window of possible solutions to the problem of clinical adaptation of a multiscale cancer model
The development of computational models for simulating tumor growth and response to
treatment has gained significant momentum during the last few decades. At the dawn of the …
treatment has gained significant momentum during the last few decades. At the dawn of the …
Accelerating Tumour Growth Simulations on Many-Core Architectures: A Case Study on the Use of GPGPU within VPH
B Liu, GJ Clapworthy, F Dong… - 2011 15th …, 2011 - ieeexplore.ieee.org
Simulators of tumour growth can estimate the evolution of tumour volume and the quantity of
various categories of cells as functions of time. However, the execution time of each …
various categories of cells as functions of time. However, the execution time of each …
[PDF][PDF] Clinically driven design of multi-scale cancer models: the
SB May, T Wang, Y Zhao, M Karasek, R Grewer… - Citeseer
The challenge of modelling cancer presents a major opportunity to improve our ability to
reduce mortality from malignant neoplasms, improve treatments and meet the demands …
reduce mortality from malignant neoplasms, improve treatments and meet the demands …