Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

I Iqbal, M Younus, K Walayat, MU Kakar, J Ma - … medical imaging and …, 2021 - Elsevier
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 …

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 …

[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 …

Multi-model CNN fusion for sperm morphology analysis

M Yüzkat, HO Ilhan, N Aydin - Computers in biology and medicine, 2021 - Elsevier
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 …

[HTML][HTML] Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images

I Iqbal, K Walayat, MU Kakar, J Ma - Intelligent Systems with Applications, 2022 - Elsevier
As a powerful analytic tool for medical image analysis, particularly for endoscopic image
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 …

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 …

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 …

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 …

An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial …

I Iqbal, I Ullah, T Peng, W Wang, N Ma - Engineering Applications of …, 2025 - Elsevier
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 …