Attention Res-UNet with Guided Decoder for semantic segmentation of brain tumors

Segmentation of MRI data using multi-objective antlion based improved fuzzy c-means

(2020) Munendra Singh et al.   Biocybernetics and Biomedical Engineering

A novel method for segmenting brain tumor using modified watershed algorithm in MRI image with FPGA

(2020) V. Sivakumar et al.   BIOSYSTEMS

A review on brain tumor segmentation of MRI images

(2019) Anjali Wadhwa et al.   MAGNETIC RESONANCE IMAGING

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

(2018) Abhijit Guha Roy et al.   NEUROIMAGE

A transform-based fast fuzzy C-means approach for high brain MRI segmentation accuracy

(2018) Chandan Singh et al.   APPLIED SOFT COMPUTING

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

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

Automated brain tumour segmentation techniques- A review

(2017) M. Angulakshmi et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

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

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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