Search Results for author: Amal Farag

Found 6 papers, 0 papers with code

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

no code implementations22 Jun 2015 Holger R. Roth, Le Lu, Amal Farag, Hoo-chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

We propose and evaluate several variations of deep ConvNets in the context of hierarchical, coarse-to-fine classification on image patches and regions, i. e. superpixels.

Automated Pancreas Segmentation Computed Tomography (CT) +2

A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling

no code implementations22 May 2015 Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

We present a bottom-up approach for pancreas segmentation in abdominal CT scans that is based on a hierarchy of information propagation by classifying image patches at different resolutions; and cascading superpixels.

Pancreas Segmentation Superpixels

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

no code implementations31 Jul 2014 Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers

Organ segmentation is a prerequisite for a computer-aided diagnosis (CAD) system to detect pathologies and perform quantitative analysis.

Computed Tomography (CT) Pancreas Segmentation +1

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