21.4.7.2 Malaria Detection, Analysis

Chapter Contents (Back)
Cells. Malaria.

Tek, F.B.[F. Boray], Dempster, A.G.[Andrew G.], Kale, I.[Izzet],
Computer vision for microscopy diagnosis of malaria,
Malaria Journal(8), No. 153, 2009.
DOI Link BibRef 0900
Earlier:
Malaria Parasite Detection in Peripheral Blood Images,
BMVC06(I:347).
PDF File. 0609
Application of image analysis and computer vision to malaria screening. BibRef

Tek, F.B.[F. Boray], Dempster, A.G.[Andrew G.], Kale, I.[Izzet],
Parasite detection and identification for automated thin blood film malaria diagnosis,
CVIU(114), No. 1, January 2010, pp. 21-32.
Elsevier DOI 1001
Malaria diagnosis; Microscope image analysis; Blood cell image; Parasitemia; K nearest neighbour rule; Imbalanced learning; Area granulometry BibRef

Tek, F.B.[F. Boray], Dempster, A.G.[Andrew G.], Kale, I.[Izzet],
Blood Cell Segmentation Using Minimum Area Watershed and Circle Radon Transformations,
MM40Yrs05(441-454)
Springer DOI 0907
BibRef

Kumarasamy, S.K.[Saravana Kumar], Ong, S.H., Tan, K.S.W.,
Robust contour reconstruction of red blood cells and parasites in the automated identification of the stages of malarial infection,
MVA(22), No. 3, May 2011, pp. 461-469.
WWW Link. 1104
BibRef

Zhao, Y., Zheng, Y., Liu, Y., Yang, J., Zhao, Y., Chen, D., Wang, Y.,
Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy,
MedImg(36), No. 1, January 2017, pp. 51-63.
IEEE DOI 1701
Diabetes BibRef

Asarnow, D.E., Singh, R.,
Segmenting the Etiological Agent of Schistosomiasis for High-Content Screening,
MedImg(32), No. 6, 2013, pp. 1007-1018.
IEEE DOI 1307
causative parasite; grayscale thinning; malaria BibRef

Maity, M.[Maitreya], Jaiswal, A.[Ayush], Gantait, K.[Kripasindhu], Chatterjee, J.[Jyotirmoy], Mukherjee, A.[Anirban],
Quantification of malaria parasitaemia using trainable semantic segmentation and capsnet,
PRL(138), 2020, pp. 88-94.
Elsevier DOI 1806
Malaria parasite, Pixel-based segmentation, Capsule network, Feature extraction, Blood cell classification BibRef

Asif, S.[Sohaib], Khan, S.U.R.[Saif Ur Rehman], Zheng, X.L.[Xiao-Long], Zhao, M.[Ming],
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images,
IJIST(34), No. 1, 2024, pp. e22953.
DOI Link 2401
computer-aided diagnosis, convolutional neural networks, deep learning, Grad-CAM, malaria detection, MozzieNet BibRef


Sultani, W.[Waqas], Nawaz, W.[Wajahat], Javed, S.[Syed], Danish, M.S.[Muhammad Sohail], Saadia, A.[Asma], Ali, M.[Mohsen],
Towards Low-Cost and Efficient Malaria Detection,
CVPR22(20655-20664)
IEEE DOI 2210
Location awareness, Learning systems, Costs, Microscopy, Detectors, Pattern recognition, Medical, biological and cell microscopy, retrieval BibRef

Zedda, L.[Luca], Loddo, A.[Andrea], Ruberto, C.D.[Cecilia Di],
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set,
CIAP22(II:358-370).
Springer DOI 2205
BibRef

Kurup, A., Soliz, P., Nemeth, S., Joshi, V.,
Automated Detection of Malarial Retinopathy Using Transfer Learning,
SSIAI20(18-21)
IEEE DOI 2009
biomedical optical imaging, diseases, eye, learning (artificial intelligence), medical image processing, Data Augmentation BibRef

Nakasi, R., Tusubira, J.F., Zawedde, A., Mansourian, A., Mwebaze, E.,
A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country,
Microscopy20(4238-4244)
IEEE DOI 2008
Diseases, Blood, Microscopy, Load modeling, Computational modeling, Object detection BibRef

Oliveira, A.D.[Allisson Dantas], Carvalho, B.M.[Bruno M.], Prats, C.[Clara], Espasa, M.[Mateu], Gomez i. Prat, J.[Jordi], Codina, D.L.[Daniel Lopez], Albuquerque, J.[Jones],
An Automatic System for Computing Malaria Parasite Density in Thin Blood Films,
CIARP17(186-193).
Springer DOI 1802
BibRef

Mehanian, C., Jaiswal, M., Delahunt, C., Thompson, C., Horning, M., Hu, L., McGuire, S., Ostbye, T., Mehanian, M., Wilson, B., Champlin, C., Long, E., Proux, S., Gamboa, D., Chiodini, P., Carter, J., Dhorda, M., Isaboke, D., Ogutu, B., Oyibo, W., Villasis, E., Tun, K.M., Bachman, C., Bell, D.,
Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks,
BioIm17(116-125)
IEEE DOI 1802
Blood, Diseases, Drugs, Measurement, Microscopy, Thick films BibRef

Makkapati, V.V.[Vishnu V.], Rao, R.M.,
Ontology-based Malaria Parasite Stage and Species Identification from Peripheral Blood Smear Images,
EMBC11(6138-6141).
IEEE DOI BibRef 1100
And:
Segmentation of Malaria Parasites in Peripheral Blood Smear Images,
ICASSP09(1361-1364).
IEEE DOI BibRef

Das, D.[Devkumar], Ghosh, M.[Madhumala], Chakraborty, C.[Chandan], Maiti, A.K.[Ashok K.], Pal, M.[Mallika],
Probabilistic prediction of malaria using morphological and textural information,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Zou, L.H.[Li-Hui], Chen, J.[Jie], Zhang, J.[Juan], Garcia, N.[Narciso],
Malaria Cell Counting Diagnosis within Large Field of View,
DICTA10(172-177).
IEEE DOI 1012
BibRef

Halim, S., Bretschneider, T.R., Li, Y.K.[Yi-Kun], Preiser, P.R., Kuss, C.,
Estimating Malaria Parasitaemia from Blood Smear Images,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Lee, L.[Lim], Bretschneider, T.R., Preiser, P.R.,
Automatic Analysis of Cos-7 Binding Assay Imagery for Malaria Vaccination Experiments,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

di Ruberto, C.[Cecilia], Dempster, A.[Andrew], Khan, S.[Shahid], Jarra, B.[Bill],
Morphological Image Processing for Evaluating Malaria Disease,
VF01(739 ff.).
Springer DOI 0209
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Surveys, Comparisons, Cells, DNA .


Last update:Mar 16, 2024 at 20:36:19