Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Image analysis and machine learning for detecting malaria
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells
automated malaria diagnosis using convolutional neural networks in an on - field setting .
Implementation of Regional-CNN and SSD Machine Learning Object Detection Architectures for the Real Time Analysis of Blood Borne Pathogens in Dark Field Microscopy
Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review
Automated P.falciparum Detection System for Post-Treatment Malaria Diagnosis Using Modified Annular Ring Ratio Method
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning
Plant Disease Detection Using Machine Learning
Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis
DREAM: Diabetic Retinopathy Analysis Using Machine Learning
Automated detection of dermatological disorders through image-processing and machine learning
Plant Disease Detection using Image Processing
Malaria parasite identification on thick blood film using genetic programming
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
Ground-based image analysis: A tutorial on machine-learning techniques and applications
Recent machine learning based approaches for disease detection and classification of agricultural products
Machine Learning for Medical Imaging
Machine Learning Interface for Medical Image Analysis
Survey of Machine Learning Algorithms for Disease Diagnostic
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis
Classification of Medical Images Using Support Vector Machine
Modelling the operation of pass transistor and CPL gates
Efficient Region Tracking With Parametric Models of Geometry and Illumination
Thermal annealing in hydrogen for 3-D profile transformation on silicon-on-insulator and sidewall roughness reduction
Use of the Hough transformation to detect lines and curves in pictures
i i ' - o a study on using mid - wave infrared images for face recognition .