[HTML][HTML] A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and …
M Rahimzadeh, A Attar - Informatics in medicine unlocked, 2020 - Elsevier
In this paper, we have trained several deep convolutional networks with introduced training
techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset
This paper aims to propose a high-speed and accurate fully-automated method to detect
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …
COVID-19 from the patient's chest CT scan images. We introduce a new dataset that …
[HTML][HTML] A review of different deep learning techniques for sperm fertility prediction
Sperm morphology analysis (SMA) is a significant factor in diagnosing male infertility.
Therefore, healthy sperm detection is of great significance in this process. However, the …
Therefore, healthy sperm detection is of great significance in this process. However, the …
Faster region convolutional neural network and semen tracking algorithm for sperm analysis
D Somasundaram, M Nirmala - Computer Methods and Programs in …, 2021 - Elsevier
Background and objectives Semen analysis is a primary and mandatory procedure to
evaluate the infertility during clinical examination. This procedure includes the analysis and …
evaluate the infertility during clinical examination. This procedure includes the analysis and …
Deep Learning-Based Precision Analysis for Acrosome Reaction by Modification of Plasma Membrane in Boar Sperm
Simple Summary The acrosome reaction (AR) is one of the important factors in assessing
sperm infertility. However, the accuracy of these assessments may be influenced by the …
sperm infertility. However, the accuracy of these assessments may be influenced by the …
Detecting and counting pistachios based on deep learning
M Rahimzadeh, A Attar - Iran Journal of Computer Science, 2022 - Springer
Pistachios are nutritious nuts that are sorted based on the shape of their shell into two
categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price …
categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price …
Detection of sperm cells by single-stage and two-stage deep object detectors
Today, infertility is a common health concern that affects approximately 15%–20% of the
world population. The evaluation of male patients with infertility includes diverse …
world population. The evaluation of male patients with infertility includes diverse …
A method for sperm activity analysis based on feature point detection network in deep learning
Z Chen, J Yang, C Luo, C Zhang - Frontiers in Computer Science, 2022 - frontiersin.org
Sperm motility is an important index to evaluate semen quality. Computer-assisted sperm
analysis (CASA) is based on the sperm image, through the image-processing algorithm to …
analysis (CASA) is based on the sperm image, through the image-processing algorithm to …
Multistage optimization using a modified gaussian mixture model in sperm motility tracking
Infertility is a condition whereby pregnancy does not occur despite having unprotected
sexual intercourse for at least one year. The main reason could originate from either the …
sexual intercourse for at least one year. The main reason could originate from either the …
Early prediction of Covid-19 using modified convolutional neural networks
A Srinivasulu, U Neelakantan, T Barua… - Data Analytics …, 2022 - taylorfrancis.com
COVID-19 virus development is one of the most broadly perceived kind of diseases. The
chapter accomplished many deep learning convolutional networks with prior training …
chapter accomplished many deep learning convolutional networks with prior training …