LCP-Net: A local context-perception deep neural network for medical image segmentation

Contextual deconvolution network for semantic segmentation

(2020) Jun Fu et al.   PATTERN RECOGNITION

Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics

(2020) Adam Kubany et al.   EXPERT SYSTEMS WITH APPLICATIONS

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Holistic decomposition convolution for effective semantic segmentation of medical volume images

(2019) Guodong Zeng et al.   MEDICAL IMAGE ANALYSIS

Robust FCM clustering algorithm with combined spatial constraint and membership matrix local information for brain MRI segmentation

(2019) Abolfazl Kouhi et al.   EXPERT SYSTEMS WITH APPLICATIONS

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semantic Understanding of Scenes Through the ADE20K Dataset

(2018) Bolei Zhou et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Optimal deep learning model for classification of lung cancer on CT images

(2018) Lakshmanaprabu S.K. et al.   Future Generation Computer Systems-The International Journal of eScience

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

(2016) Tom Brosch et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

(2016) Qiaoliang Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Trainable COSFIRE filters for vessel delineation with application to retinal images

(2015) George Azzopardi et al.   MEDICAL IMAGE ANALYSIS