Innovations and new advancements in intraoperative real-time imaging have gained
significant importance in the field of gastric cancer surgery in the recent past. Currently, the …

A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning
algorithms for hyperspectral detection of microalgae is presented. The THMI system has …

Hyperspectral imaging (HSI) technology has demonstrated potential to provide useful
information about the chemical composition of tissue and its morphological features in a …

Mid-infrared spectroscopy probes molecular vibrations to identify chemical species and
functional groups. Therefore, mid-infrared hyperspectral imaging is one of the most powerful …

Hyperspectral imaging (HSI) is a promising technology that can provide valuable support for
the advancement of the medical field. Bibliometrics can analyze a vast number of …

Esophageal cancer is the sixth leading cause of cancer-related death worldwide.
Histopathological confirmation is a key step in tumor diagnosis. Therefore, simplification in …

Significance: Automatic, fast, and accurate identification of cancer on histologic slides has
many applications in oncologic pathology. Aim: The purpose of this study is to investigate …

Pancreatic cancer is one of the deadliest types of cancer and its prognosis is extremely poor
in the present scenario. Automatic pancreatic tumor image segmentation is often provided …

Significance: Hyperspectral imaging (HSI) provides rich spectral information for improved
histopathological cancer detection. However, acquiring high-resolution HSI data for whole …

Complete recognition of necrotic areas during small bowel tissue resection remains
challenging due to the lack of optimal intraoperative aid identification techniques. This …