The need for improved prediction of clinical response is driving the development of cancer
models with enhanced physiological relevance. A new concept of 'precision biomaterials' is …

Recent research has highlighted the importance of key tumor microenvironment features,
notably the collagen-rich extracellular matrix (ECM) in characterizing tumor invasion and …

Contact guidance is a powerful topographical cue that induces persistent directional cell
migration. Healthy tissue stroma is characterized by a meshwork of wavy extracellular matrix …

Discrimination of ovarian tumors is necessary for proper treatment. In this study, we
developed a convolutional neural network model with a convolutional autoencoder (CNN …

Second harmonic generation (SHG) and third harmonic generation (THG) microscopies
have emerged as powerful imaging modalities to examine structural properties of a wide …

Quantification of fibrillar collagen organization has given new insight into the possible role of
collagen topology in many diseases and has also identified candidate image-based bio …

Diagnostic pathology, historically dependent on visual scrutiny by experts, is essential for
disease detection. Advances in digital pathology and developments in computer vision …

Second harmonic generation (SHG) microscopy is acknowledged as an established
imaging technique capable to provide information on the collagen architecture in tissues that …

Clinical evidence supports a role for the extracellular matrix (ECM) in cancer risk and
prognosis across multiple tumor types, and numerous studies have demonstrated that …

Histopathological image analysis of stained tissue slides is routinely used in tumor detection
and classification. However, diagnosis requires a highly trained pathologist and can thus be …