3 papers
eess.IV2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have intr…
eess.IV2019
Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation
Ronnie Rajan, Rachana Sathish, Debdoot Sheet
Radiologists use various imaging modalities to aid in different tasks like diagnosis of disease, lesion visualization, surgical planning and prognostic evaluation. Most of these ta…
eess.IV2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri +2
Ischaemic stroke is a medical condition caused by occlusion of blood supply to the brain tissue thus forming a lesion. A lesion is zoned into a core associated with irreversible ne…