Loss odyssey in medical image segmentation

Boundary loss for highly unbalanced segmentation

(2020) Hoel Kervadec et al.   MEDICAL IMAGE ANALYSIS

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

(2020) Nicholas Heller et al.   MEDICAL IMAGE ANALYSIS

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions

(2020) Hyunseok Seo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Combo loss: Handling input and output imbalance in multi-organ segmentation

(2019) Saeid Asgari Taghanaki et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks

(2019) Davood Karimi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint

(2019) Pierre-Antoine Ganaye et al.   MEDICAL IMAGE ANALYSIS

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

(2019) Xiahai Zhuang et al.   MEDICAL IMAGE ANALYSIS

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks

(2018) Eli Gibson et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

(2018) Wentao Zhu et al.   MEDICAL PHYSICS

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING