… Recently, deep learning has received considerable interest … DHM were incorporated with
deep learning and addressed on … In the present study, a new deep learning-based framework is …

… on deep learning with white-light interferometry to further improve the resolution accuracy
of the measurement results. The super-resolution processing of the white-light interferogram …

… a more realistic environment that is under white-light illumination. It is known that a white
light source emits temporally and spatially incoherent light. Each coherent mode will produce a …

… This study aimed to develop two deep learning models to … Conventional white light endoscopy
has moderate sensitivity … However, using only conventional white light images, our DL …

Objectives To assess a new application of artificial intelligence for real‐time detection of
laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow‐band imaging (…

… explore the feasibility of deep learning to distinguish the … endoscopic examination based on
deep learning, and reported … the feasibility of using deep learning to predict the pathology of …

… This study aimed to develop and validate deep learning models that automatically
classify colorectal lesions histologically on white-light colonoscopy images. Methods: White-light …

Background Accurate delineation of cancer margins is critical for endoscopic curative
resection. This study aimed to train and validate real-time fully convolutional networks for …

… to use deep learning methods to establish colorectal lesion detection, positioning, and
classification models based on white light … We collected and sorted out the white light endoscopic …

… of deep learning to analyzing white light colonoscopic adenoma images and build a
computer-aided diagnostic (CAD) system. Deep learning, … system based on deep learning models …