Automated identification of normoblast cell from human peripheral blood smear images.

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Automated identification of normoblast cell from human peripheral blood smear images.

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2017 nî lūn-bûn

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2017年学术文章

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Automated identification of normoblast cell from human peripheral blood smear images.

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Automated identification of normoblast cell from human peripheral blood smear images.

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Automated identification of normoblast cell from human peripheral blood smear images.

@en

Automated identification of normoblast cell from human peripheral blood smear images.

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Automated identification of normoblast cell from human peripheral blood smear images.

@en

Automated identification of normoblast cell from human peripheral blood smear images.

@nl

P1476

Automated identification of normoblast cell from human peripheral blood smear images.

@en

P2093

Asok Kumar Maiti

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P2860

Random Forests

A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment.

Computational microscopic imaging for malaria parasite detection: a systematic review.

An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

Automated microscopic image analysis for leukocytes identification: a survey.

Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears.

Automatic leukocyte nucleus segmentation by intuitionistic fuzzy divergence based thresholding.

Development of hedge operator based fuzzy divergence measure and its application in segmentation of chronic myelogenous leukocytes from microscopic image of peripheral blood smear.

Accurate segmentation of leukocyte in blood cell images using Atanassov's intuitionistic fuzzy and interval Type II fuzzy set theory.

Fuzzy c-means clustering with spatial information for image segmentation.

P304

310-320

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scholarly article

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10.1111/JMI.12640

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P433

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P478

269

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Dev Kumar Das

C Chakraborty

P577

2017-10-17T00:00:00Z

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P698

29044529

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