相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Sequential classification system for recognition of malaria infection using peripheral blood cell images
Angel Molina et al.
JOURNAL OF CLINICAL PATHOLOGY (2020)
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears
Feng Yang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection
Maria Delgado-Ortet et al.
ENTROPY (2020)
Detection and stage classification of Plasmodium falciparum from images of Giemsa stained thin blood films using random forest classifiers
Syed Saiden Abbas et al.
DIAGNOSTIC PATHOLOGY (2020)
Quantification of malaria parasitaemia using trainable semantic segmentation and capsnet
Maitreya Maity et al.
PATTERN RECOGNITION LETTERS (2020)
Analyzing Malaria Disease Using Effective Deep Learning Approach
Krit Sriporn et al.
DIAGNOSTICS (2020)
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
Tom Eelbode et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Evaluation of Malaria Diagnostic Methods as a Key for Successful Control and Elimination Programs
Afoma Mbanefo et al.
TROPICAL MEDICINE AND INFECTIOUS DISEASE (2020)
Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears
Naveed Abbas et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Convolutional neural network-based malaria diagnosis from focus stack of blood smear images acquired using custom-built slide scanner
Gopalakrishna Pillai Gopakumar et al.
JOURNAL OF BIOPHOTONICS (2018)
A review on automated diagnosis of malaria parasite in microscopic blood smears images
Zahoor Jan et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Hybrid classifier based life cycle stages analysis for malaria-infected erythrocyte using thin blood smear images
Salam Shuleenda Devi et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Malaria Elimination: Time to Target All Species
Andrew A. Lover et al.
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE (2018)
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology
Andrea Loddo et al.
SENSORS (2018)
Image analysis and machine learning for detecting malaria
Mahdieh Poostchi et al.
TRANSLATIONAL RESEARCH (2018)
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Sivaramakrishnan Rajaraman et al.
PEERJ (2018)
Species and genotype diversity of Plasmodium in malaria patients from Gabon analysed by next generation sequencing
Albert Lalremruata et al.
MALARIA JOURNAL (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
LED fluorescence microscopy: Novel method for malaria diagnosis compared with routine methods
Riddhi Hathiwala et al.
JOURNAL OF INFECTION AND PUBLIC HEALTH (2017)
A portable image-based cytometer for rapid malaria detection and quantification
Dahou Yang et al.
PLOS ONE (2017)
Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks
Courosh Mehanian et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Malaria: Biology and Disease
Alan F. Cowman et al.
CELL (2016)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015
Haidong Wang et al.
LANCET (2016)
Technical recommendations and best practice guidelines for May-Grunwald-Giemsa staining: Literature review and insights from the quality assurance
Eric Piaton et al.
ANNALES DE PATHOLOGIE (2015)
The utility of serial blood film testing for the diagnosis of malaria
Karan S. Makhija et al.
PATHOLOGY (2015)
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system
Ryan J. Urbanowicz et al.
EVOLUTIONARY INTELLIGENCE (2015)
Guideline: the laboratory diagnosis of malaria
J. Wendi Bailey et al.
BRITISH JOURNAL OF HAEMATOLOGY (2013)
Human Infections and Detection of Plasmodium knowlesi
Balbir Singh et al.
CLINICAL MICROBIOLOGY REVIEWS (2013)
Machine learning approach for automated screening of malaria parasite using light microscopic images
Dev Kumar Das et al.
MICRON (2013)
Annotated high-throughput microscopy image sets for validation
Vebjorn Ljosa et al.
NATURE METHODS (2012)
Parasite detection and identification for automated thin blood film malaria diagnosis
F. Boray Tek et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2010)
Malaria Diagnosis: A Brief Review
Noppadon Tangpukdee et al.
KOREAN JOURNAL OF PARASITOLOGY (2009)