5 citations · 5 across the 1 of their papers we have counts for
2 papers
eess.IV2020★ 5 cited
Joint Liver Lesion Segmentation and Classification via Transfer Learning
Michal Heker, Hayit Greenspan
Transfer learning and joint learning approaches are extensively used to improve the performance of Convolutional Neural Networks (CNNs). In medical imaging applications in which th…
eess.IV2019
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…