Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation

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

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

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

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Cartoon filter via adaptive abstraction

(2016) Davide Guastella et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Effects of Age on the Detection and Management of Breast Cancer

(2015) Andrew McGuire et al.   Cancers

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria

(2013) Hsien-Chi Kuo et al.   JOURNAL OF DIGITAL IMAGING

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI

(2011) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions

(2010) Ying Wang et al.   PATTERN RECOGNITION