Search Results for author: Eyal Klang

Found 7 papers, 0 papers with code

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans

no code implementations26 Jul 2021 Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

We developed a weakly supervised deep learning algorithm, with an emphasis on a novel attention mechanism, to automatically classify RV strain on CTPA.

Specificity

Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection

no code implementations21 Feb 2018 Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan

Quantitative evaluation was conducted using an existing lesion detection software, combining the synthesized PET as a false positive reduction layer for the detection of malignant lesions in the liver.

Generative Adversarial Network Lesion Detection

Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification

no code implementations8 Jan 2018 Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

In this paper, we present a data augmentation method that generates synthetic medical images using Generative Adversarial Networks (GANs).

Classification Computed Tomography (CT) +4

Anatomical Data Augmentation For CNN based Pixel-wise Classification

no code implementations7 Jan 2018 Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan

In this work we propose a method for anatomical data augmentation that is based on using slices of computed tomography (CT) examinations that are adjacent to labeled slices as another resource of labeled data for training the network.

Classification Computed Tomography (CT) +2

Cannot find the paper you are looking for? You can Submit a new open access paper.