The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low-…

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate. …

In this paper, we introduce a new radiomic descriptor, Co-occurrence of Local Anisotropic
Gradient Orientations (CoLlAGe) for capturing subtle differences between benign and …

Background Use of adjuvant chemotherapy in patients with early-stage lung cancer is
controversial because no definite biomarker exists to identify patients who would receive added …

No predictive biomarkers can robustly identify patients with non–small cell lung cancer (NSCLC)
who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a machine …

Background In this study, we evaluated the ability of radiomic textural analysis of
intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast-enhanced …

Detection of cracks on bridge decks is a vital task for maintaining the structural health and
reliability of concrete bridges. Robotic imaging can be used to obtain bridge surface image …

Objective Despite 90 % of glioblastoma (GBM) recurrences occurring in the peritumoral
brain zone (PBZ), its contribution in patient survival is poorly understood. The current study …

Purpose To evaluate ability of radiomic (computer-extracted imaging) features to distinguish
non-small cell lung cancer adenocarcinomas from granulomas at noncontrast CT. Materials …

Purpose: To (i) create a survival risk score using radiomic features from the tumor habitat on
routine MRI to predict progression-free survival (PFS) in glioblastoma and (ii) obtain a …