most citedSegmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network

2 citations

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2 papers

cs.CV2025

Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset

Nivea Roy, Son Tran, Atul Sajjanhar +4

Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…

cs.CV2017★ 2 cited

Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network

Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary +2

We have developed and trained a convolutional neural network to automatically and simultaneously segment optic disc, fovea and blood vessels. Fundus images were normalised before s…