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A Soft STAPLE Algorithm Combined with Anatomical Knowledge
Eytan Kats, Jacob Goldberger, Hayit Greenspan
Supervised machine learning algorithms, especially in the medical domain, are affected by considerable ambiguity in expert markings. In this study we address the case where the exp…
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images
Rula Amer, Jannette Nassar, David Bendahan +2
Magnetic resonance imaging (MRI) of thigh and calf muscles is one of the most effective techniques for estimating fat infiltration into muscular dystrophies. The infiltration of ad…
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
Chest radiographs are frequently used to verify the correct intubation of patients in the emergency room. Fast and accurate identification and localization of the endotracheal (ET)…
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT
Michal Heker, Avi Ben-Cohen, Hayit Greenspan
We present an automatic method for joint liver lesion segmentation and classification using a hierarchical fine-tuning framework. Our dataset is small, containing 332 2-D CT examin…
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset
Ophir Gozes, Hayit Greenspan
The use of ImageNet pre-trained networks is becoming widespread in the medical imaging community. It enables training on small datasets, commonly available in medical imaging tasks…
Quantitative phase microscopy spatial signatures of cancer cells
Darina Roitshtain, Lauren Wolbromsky, Evgeny Bal +3
We present cytometric classification of live healthy and cancer cells by using the spatial morphological and textural information found in the label-free quantitative phase images…
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation
Eytan Kats, Jacob Goldberger, Hayit Greenspan
This paper explores the use of a soft ground-truth mask ("soft mask'') to train a Fully Convolutional Neural Network (FCNN) for segmentation of Multiple Sclerosis (MS) lesions. Det…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…