Towards a guideline for evaluation metrics in medical image segmentation

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

(2021) Dominik Müller et al.   BMC MEDICAL IMAGING

A Review of Deep-Learning-Based Medical Image Segmentation Methods

(2021) Xiangbin Liu et al.   Sustainability

Comparison of metrics for the evaluation of medical segmentations using prostate MRI dataset

(2021) Ying-Hwey Nai et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Lessons learned in transitioning to AI in the medical imaging of COVID-19

(2021) Issam M. El Naqa et al.   Journal of Medical Imaging

Deep semantic segmentation of natural and medical images: a review

(2020) Saeid Asgari Taghanaki et al.   ARTIFICIAL INTELLIGENCE REVIEW

Variability and reproducibility in deep learning for medical image segmentation

(2020) Félix Renard et al.   Scientific Reports

Potentials of AI in medical image analysis in Gastroenterology and Hepatology

(2020) Hao Chen et al.   JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY

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

(2020) Fabian Isensee et al.   NATURE METHODS

Why Cohen’s Kappa should be avoided as performance measure in classification

(2019) Rosario Delgado et al.   PLoS One

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

(2019) Juan C. Caicedo et al.   NATURE METHODS

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

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

Designing image segmentation studies: Statistical power, sample size and reference standard quality

(2017) Eli Gibson et al.   MEDICAL IMAGE ANALYSIS

Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation

(2016) Jun Cheng et al.   PLoS One

WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians

(2015) Jorge Bernal et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

(2015) Abdel Aziz Taha et al.   BMC MEDICAL IMAGING

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

(2015) Jun Cheng et al.   PLoS One

A Review of Methods and Applications of the ROC Curve in Clinical Trials

(2012) Ramesh V Kumar et al.   DRUG INFORMATION JOURNAL