… The main source of in-vivo information about lesion growth is 3D Medical Imaging such as
Magnetic Resonance Images (MIU). Classical techniques [6] consist in computing the volume …

… Also, it would be important to study a case where the lesion evolution is known to see if
the model of lesion growth we have proposed is near or far from the reality. Finally, in a more …

… lesion location. On this basis, the paper analyzes the typical characteristics of human liver
medical images and chest X-ray images… select the starting point of growth. In this way, the error …

… ) images have been used to visualize the lesion extent, either … Combining diffusion and
perfusion imaging modalities may … or fully automatic 2D/3D medical image analysis methods and …

… , a segmentation of the lesion which is not requested to be … ) of the two volumetric images
or one image of the time sequence … , or profile, associated to the lesion growth, from which we …

… of medical informatization. Classification, identification, and segmentation of lesions based
on medical imaging … the ideal solution for automated medical lesion recognition, thanks to the …

… are significantly predictive for future lesion’s and … lesion therapy response. Therefore...: •
We present a novel approach for CT liver lesion assessment, capable of predicting tumor growth …

… image findings that may serve as reference for later studies. We propose to mine and harvest
these abundant retrospective medical data to build a large-scale lesion image … lesions in …

… infarct into the acute lesion and lesion growth as well as the … (i) lesion growth from the acute
lesion and (ii) lesion growth … will differentiate lesion growth from the acute lesion and from …

… nodules in CT images can be described as compact opaque lesions with attenuation near or
… Segmentation and subsequent analysis of these lesions is predicated upon formal models …