Automatic segmentation of Leishmania parasite in microscopic images using a modified CV level set method-Reference-Cited by-同舟云学术

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Automatic segmentation of Leishmania parasite in microscopic images using a modified CV level set method

Published:2015-12-09 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Farahi Maria,Rabbani Hossein,Talebi Ardeshir,Sarrafzadeh Omid,Ensafi Shahab

Publisher

SPIE

Reference18 articles.

1. Leishmaniasis;Chang,1986

2. Cutaneous leishmaniasis: recognition and treatment;Markle,2004

3. Treatment of cutaneous leishmaniasis: effectiveness, and adverse effects of the drugs;Talari,2012

4. Leishmaniasis: current situation and new perspectives

5. Graph-based tools for microscopic cellular image segmentation

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2. Computer Vision in Automatic Visceral Leishmaniasis Diagnosis: a Survey;IEEE Latin America Transactions;2023-02

3. Visceral Leishmaniasis Detection Using Deep Learning Techniques and Multiple Color Space Bands;Intelligent Systems Design and Applications;2023

4. A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches;Artificial Intelligence Review;2022-06-07

5. Semi-automatic detection of the evolutionary forms of visceral leishmaniasis in microscopic blood smears;Journal of Physics: Conference Series;2019-11-01

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