A Multiscale Patch Based Convolutional Network for Brain Tumor\n Segmentation

2017/10/06 by Jean Stawiaski, Stawiaski, Jean · 1 citation
Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.1710.02316

openalex publication_date 2017/10/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This article presents a multiscale patch based convolutional neural network\nfor the automatic segmentation of brain tumors in multi-modality 3D MR images.\nWe use multiscale deep supervision and inputs to train a convolutional network.\nWe evaluate the effectiveness of the proposed approach on the BRATS 2017\nsegmentation challenge where we obtained dice scores of 0.755, 0.900, 0.782 and\n95% Hausdorff distance of 3.63mm, 4.10mm, and 6.81mm for enhanced tumor core,\nwhole tumor and tumor core respectively.\n

Citations

• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
• Deeply-Supervised Nets
• Multi-Scale Context Aggregation by Dilated Convolutions
• Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
• U-Net: Convolutional Networks for Biomedical Image Segmentation
• Fully Convolutional Networks for Semantic Segmentation
• Learning Deconvolution Network for Semantic Segmentation

Cited by

• Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection

Related

• 3D Convolutional Neural Networks for Brain Tumor Segmentation: A\n Comparison of Multi-resolution Architectures
• Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
• 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
• Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
• A Pretrained DenseNet Encoder for Brain Tumor Segmentation