Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Management Rules to Detect Melanoma
Blue-black rule: a simple dermoscopic clue to recognize pigmented nodular melanoma.
Dermatoscopic Findings of Seborrheic Keratosis in Melanoma.
Automatically Early Detection of Skin Cancer: Study Based on Nueral Netwok Classification
A reliable skin mole localization scheme
Dermoscopic Evaluation of Nodular Melanoma
Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions
Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting
Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screening
Increasing Deep Learning Melanoma Classification by Classical And Expert Knowledge Based Image Transforms
Vision-Based Classification of Skin Cancer using Deep Learning
Dermatologists' Accuracy in Early Diagnosis of Melanoma of the Nail Matrix
Segmentation of Skin Cancer Images
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer
Management of Popliteal Sentinel Nodes in Melanoma
Desmoplastic melanoma: a review.
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble
Diagnostic Efficacy of Digital Dermoscopy and Clinical Findings in Thin Melanoma of the Lower Limbs.
Key point in dermoscopic differentiation between early nail apparatus melanoma and benign longitudinal melanonychia
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques
A Mobile Automated Skin Lesion Classification System
Contextualization of topics: browsing through the universe of bibliographic information
Collateral damage: insights into bacterial mechanisms that predispose host cells to cancer
A model-based framework: an approach for profit-driven optimization
Dermoscopic evaluation of amelanotic and hypomelanotic melanoma.
Linked Data Platform as a novel approach for Enterprise Application Integration