Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation

Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central r


page 1

page 2

page 4

page 6

page 7

page 8


Retinal Vessel Segmentation based on Fully Convolutional Networks

The morphological attributes of retinal vessels, such as length, width, ...

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...

Wearable multi-color RAPD screening device

In this work, we developed a wearable, head-mounted device that automati...

Computer Aided Diagnosis and Out-of-Distribution Detection in Glaucoma Screening Using Color Fundus Photography

Artificial Intelligence for RObust Glaucoma Screening (AIROGS) Challenge...

SOLIS: Autonomous Solubility Screening using Deep Neural Networks

Accelerating material discovery has tremendous societal and industrial i...

A Generalized Motion Pattern and FCN based approach for retinal fluid detection and segmentation

SD-OCT is a non-invasive cross-sectional imaging modality used for diagn...

Please sign up or login with your details

Forgot password? Click here to reset