This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

Background Gastric cancer is the third most lethal malignancy worldwide. A novel deep
convolution neural network (DCNN) to perform visual tasks has been recently developed …

Medical imaging is the mainstay of clinical diagnosis and management. Optical coherence
tomography (OCT) is a non-invasive imaging technology that has revolutionized the field of …

Early detection and diagnosis of oral cancer are critical for a better prognosis, but accurate
and automatic identification is difficult using the available technologies. Optical coherence …

Real-time colorectal cancer diagnosis using PR-OCT with deep learning Page 1 OW2E.5.pdf
Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN) …

Cellular-resolution optical coherence tomography (OCT) is a powerful tool offering
noninvasive histology-like imaging. However, like other optical microscopy tools, a high …

Swept source optical coherence tomography (SS-OCT) enables volumetric imaging of
subsurface structure. However, applications requiring wide fields of view (FOV), rapid …

Capsule endoscopy (CE) has proved to be a powerful tool in the diagnosis and
management of small bowel disorders since its introduction in 2001. However, white light …

Optical coherence tomography (OCT) has revolutionized ophthalmic diagnosis as a non‐
invasive, cross‐sectional imaging technique in the last 30 years and hence is one of the …

Multimode fibres (MMFs) are becoming increasingly attractive in optical endoscopy as they
promise to enable unparallelled miniaturisation, spatial resolution and cost. However, high …