Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Deep learning for skin lesion segmentation
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Fully Convolutional Network for Liver Segmentation and Lesions Detection
A multi-view deep convolutional neural networks for lung nodule segmentation
An Interactive Deep Learning Toolkit for Automatic Segmentation of Images
Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction
Segmentation of Liver Lesions with Reduced Complexity Deep Models
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks
Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification
A Self-adaptation Method for Human Skin Segmentation based on Seed Growing
Automatic brain and tumor segmentation
Deep Learning Phase Segregation
Secure and Usable User-in-a-Context Continuous Authentication in Smartphones Leveraging Non-Assisted Sensors
Going deeper with convolutions
Hand gesture based user interface for computer using a camera and projector
Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification
Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study