A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment

no code implementations • 5 Jul 2022 • Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin-Raviv

This is accomplished via a unique, end-to-end hierarchical network architecture and ensemble learning, which contribute to the segmentation and provide a measure for segmentation uncertainty.

Ensemble Learning Segmentation

The Worrisome Impact of an Inter-rater Bias on Neural Network Training

no code implementations • 12 Jun 2019 • Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv

In this paper, we highlight the issue of inter-rater bias as opposed to random inter-observer variability and demonstrate its influence on DNN training, leading to different segmentation results for the same input images.

Segmentation Semantic Segmentation

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

1 code implementation • 11 Jan 2019 • Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici

In this paper, we show how an attacker can use deep-learning to add or remove evidence of medical conditions from volumetric (3D) medical scans.