Diagnoses of Neisseria Bacteria via Neural Networks Techniques
نویسندگان
چکیده
This paper presented simple approach that automatically detects Neisseria Bacteria cell in the cerebrospinal fluid smear images. The proposed methodology mainly consists of images acquisition, transformation form red, green, blue to other color spaces. step followed by subbing and segmenting extracting features then validation classifying based extracted using neural networks. diagnosis for through network techniques has performed high-precision performance some suggested groups.
منابع مشابه
Optimal deep neural networks for sparse recovery via Laplace techniques
This paper introduces Laplace techniques to design an optimal neural network for estimation of simplex-valued sparse vectors from compressed measurements. To this end, we recast the problem of MMSE estimation (w.r.t. a prescribed uniform input distribution) as centroid computation of some polytope that is an intersection of the simplex and an affine subspace determined by the measurements. Due ...
متن کاملArtificial Neural Networks for Diagnoses of Dysfunctions in Urology
In this article we evaluate the work out of artificial neural networks as tools for helping and support in the medical diagnosis. In particular we compare the usability of one supervised and two unsupervised neural network architectures for medical diagnoses of lower urinary tract dysfunctions. The purpose is to develop a system that aid urologists in obtaining diagnoses, which will yield impro...
متن کاملrodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
surface roughness prediction via fuzzy-neural networks in dry machining
optimization of machining parameters is very important and the main goal in every machining process. surface finishing prediction is a pre-requirement to establish a center for automatic machining operations. in this research, a neuro-fuzzy approach is used in order to model and predict the surface roughness in dry turning. this approach has both the learning capability of neural network and li...
متن کاملTechniques and applications of neural networks
Find the secret to improve the quality of life by reading this techniques and applications of neural networks. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, neve...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: World Journal Of Advanced Research and Reviews
سال: 2021
ISSN: ['2581-9615']
DOI: https://doi.org/10.30574/wjarr.2021.12.3.0673