… MRI images in detail. The objective is to investigate whether combination of multi-modality
imaging … Different from hamartomas in kidney or lung, SH seldom contains a fatty component, …

… Here we demonstrate how imaging phenotypes can be connected to somatic mutations …
of 763 lung adenocarcinoma patients with somatic mutation testing and engineered CT image …

… Experimental lung tumor phantom images have sufficient contrast‐to‐noise to visualize …
lung tumor contrast for simulated phantom images agree quantitatively with experimental images…

The underlying principles of nuclear medicine imaging involve the use of unsealed sources
of radioactivity in the form of radiopharmaceuticals. The ionizing radiations that accompany …

… -sectional images, there are multiple situations in … image. Consequently, a highly attenuating
lesion superimposed on blood vessels will not be identified on the MIP image of the lung …

… lung cancer is important because the treatment options and prognosis differ significantly
by stage. Several noninvasive imaging … non-small cell lung cancer is critical to decision-making. …

… and quantify multiple organ and suborgan structures. An example is a single region-based
segmentation approach that is applied to multiple structures in pulmonary image analysis: a …

… lung segmentation [8]. Saradhi et al. also employed co-occurrence matrix based texture
features for tumor detection in PET lung images [… Our work focuses on lung images produced by …

… sections of the lungs were analyzed using fluorescence imaging, … Targeted dual-modality
image-guided surgery using … A special surgical challenge are those patients with multiple small …

… imaging modalities are used to improve the quality of the delineations, such as magnetic
resonance imaging (… is presented for using multiple datasets from different modalities during the …