Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images
As an analytic tool in medicine, deep learning has gained great attention and opened new
ways for disease diagnosis. Recent studies validate the effectiveness of deep learning …
ways for disease diagnosis. Recent studies validate the effectiveness of deep learning …
AI tools for assessing human fertility using risk factors: A state-of-the-art review
D GhoshRoy, PA Alvi, KC Santosh - Journal of Medical Systems, 2023 - Springer
Infertility has massively disrupted social and marital life, resulting in stressful emotional well-
being. Early diagnosis is the utmost need for faster adaption to respond to these changes …
being. Early diagnosis is the utmost need for faster adaption to respond to these changes …
[HTML][HTML] Precision medicine and artificial intelligence: overview and relevance to reproductive medicine
I Hajirasouliha, O Elemento - Fertility and Sterility, 2020 - Elsevier
Traditionally, new treatments have been developed for the population at large. Recently,
large-scale genomic sequencing analyses have revealed tremendous genetic diversity …
large-scale genomic sequencing analyses have revealed tremendous genetic diversity …
Multi-model CNN fusion for sperm morphology analysis
Infertility is a common disorder affecting 20% of couples worldwide. Furthermore, 40% of all
cases are related to male infertility. The first step in the determination of male infertility is …
cases are related to male infertility. The first step in the determination of male infertility is …
[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …
[HTML][HTML] Computer software (SiD) assisted real-time single sperm selection associated with fertilization and blastocyst formation
G Mendizabal-Ruiz, A Chavez-Badiola… - Reproductive …, 2022 - Elsevier
Research question: Using a novel artificial vision-based software (SiD V1. 0; IVF 2.0, UK),
we aimed to explore a correlation between individual sperm kinematics evaluated in real …
we aimed to explore a correlation between individual sperm kinematics evaluated in real …
Deep learning based evaluation of spermatozoid motility for artificial insemination
V Valiuškaitė, V Raudonis, R Maskeliūnas… - Sensors, 2020 - mdpi.com
We propose a deep learning method based on the Region Based Convolutional Neural
Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen …
Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen …
Does artificial intelligence have a role in the IVF clinic?
DJX Chow, P Wijesinghe, K Dholakia… - Reproduction and …, 2021 - raf.bioscientifica.com
Lay summary The success of IVF has remained stagnant for a decade. The focus of a great
deal of research is to improve on the current~ 30% success rate of IVF. Artificial intelligence …
deal of research is to improve on the current~ 30% success rate of IVF. Artificial intelligence …
Effect of deep transfer and multi-task learning on sperm abnormality detection
A Abbasi, E Miahi, SA Mirroshandel - Computers in Biology and Medicine, 2021 - Elsevier
Analyzing the abnormality of morphological characteristics of male human sperm has been
studied for a long time mainly because it has many implications on the male infertility …
studied for a long time mainly because it has many implications on the male infertility …
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial …
Deep learning is a very powerful analytic tool to recognize the patterns in data to make
appropriate predictions. It has tremendous potential in data analyses, particularly for cell …
appropriate predictions. It has tremendous potential in data analyses, particularly for cell …