Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

AI applications to medical images: From machine learning to deep learning

(2021) Isabella Castiglioni et al.   Physica Medica-European Journal of Medical Physics

Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review

(2021) Maria Nazir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Loss odyssey in medical image segmentation

(2021) Jun Ma et al.   MEDICAL IMAGE ANALYSIS

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy

(2021) Michael Yeung et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Image segmentation evaluation: a survey of methods

(2020) Zhaobin Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering

(2020) Leonardo Rundo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Ensemble U‐Net‐Based Method for Fully Automated Detection and Segmentation of Renal Masses on Computed Tomography Images

(2020) Fatemeh Zabihollahy et al.   MEDICAL PHYSICS

Eigenloss: Combined PCA-Based Loss Function for Polyp Segmentation

(2020) Luisa F. Sánchez-Peralta et al.   Mathematics

A survey on U-shaped networks in medical image segmentations

(2020) Liangliang Liu et al.   NEUROCOMPUTING

The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs

(2020) Dimitri A. Kessler et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

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

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

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

A novel framework for MR image segmentation and quantification by using MedGA

(2019) Leonardo Rundo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

(2019) Leonardo Rundo et al.   NEUROCOMPUTING

Study on the improved fuzzy clustering algorithm and its application in brain image segmentation

(2019) Tianbao Ren et al.   APPLIED SOFT COMPUTING

An RDAU-NET model for lesion segmentation in breast ultrasound images

(2019) Zhemin Zhuang et al.   PLoS One

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration

(2019) Leonardo Rundo et al.   FUNDAMENTA INFORMATICAE

MedGAN: Medical image translation using GANs

(2019) Karim Armanious et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

(2019) Qikui Zhu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Model-Based and Data-Driven Strategies in Medical Image Computing

(2019) Daniel Rueckert et al.   PROCEEDINGS OF THE IEEE

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning Applications in Medical Image Analysis

(2018) Justin Ker et al.   IEEE Access

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

(2018) Wentao Zhu et al.   MEDICAL PHYSICS

Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation

(2017) Alaa Khadidos et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

(2017) Leonardo Rundo et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

(2017) Spyridon Bakas et al.   Scientific Data

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

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments

(2015) Leonardo Rundo et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Machine learning and radiology

(2012) Shijun Wang et al.   MEDICAL IMAGE ANALYSIS

Renal tumor quantification and classification in contrast-enhanced abdominal CT

(2008) Marius George Linguraru et al.   PATTERN RECOGNITION