Skin lesion segmentation using fully convolutional networks: A comparative experimental study

Liver CT sequence segmentation based with improved U-Net and graph cut

(2019) Zhe Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging

(2019) Fei Gao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

(2018) Mohammed A. Al-masni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images

(2018) Nilanjan Dey et al.   Symmetry-Basel

Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation

(2018) Philipp Tschandl et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance

(2017) Yading Yuan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

(2017) Timothy L. Kline et al.   JOURNAL OF DIGITAL IMAGING

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Computational methods for the image segmentation of pigmented skin lesions: A review

(2016) Roberta B. Oliveira et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A computational approach for detecting pigmented skin lesions in macroscopic images

(2016) Roberta B. Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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 Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model

(2016) Zhen Ma et al.   IEEE Journal of Biomedical and Health Informatics

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices

(2015) Mercedes Filho et al.   JOURNAL OF MEDICAL SYSTEMS

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

(2015) Abdel Aziz Taha et al.   BMC MEDICAL IMAGING

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION