Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Combining deep learning and hand-crafted features for skin lesion classification
A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
CLASSIFICATION OF SKIN DISEASE USING MULTI SVM CLASSIFIER
Representation learning for mammography mass lesion classification with convolutional neural networks
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images
Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images
Developing a retrieval based diagnostic aid for automated melanoma recognition of dermoscopic images
Automatic Segmentation of Skin Cancer Images using Adaptive Color Clustering
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector
Convolutional neural networks for mammography mass lesion classification
Automatic lesion segmentation for melanoma diagnostics in macroscopic images
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Skin Cancer Detection Using Digital Image Processing
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions
Skin lesion segmentation: U-Nets versus clustering
computational methods for the image segmentation of pigmented skin lesions : a review .
plant metabolomics and its potential for systems biology research background concepts , technology , and methodology .
Diagnosing and predicting wind turbine faults from SCADA data using support vector machines
Multi-modal Spectral Image Super-Resolution
Image Retrieval-Based Decision Support System for Dermatoscopic Images
Iterative and incremental developments. a brief history