Artificial intelligence in glaucoma: opportunities, challenges, and future directions

X Huang, MR Islam, S Akter, F Ahmed… - BioMedical Engineering …, 2023 - Springer
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

BCU-Net: Bridging ConvNeXt and U-Net for medical image segmentation

H Zhang, X Zhong, G Li, W Liu, J Liu, D Ji, X Li… - Computers in Biology …, 2023 - Elsevier
Medical image segmentation enables doctors to observe lesion regions better and make
accurate diagnostic decisions. Single-branch models such as U-Net have achieved great …

[Retracted] Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer

N Ashokkumar, S Meera, P Anandan… - BioMed Research …, 2022 - Wiley Online Library
The second largest cause of mortality worldwide is breast cancer, and it mostly occurs in
women. Early diagnosis has improved further treatments and reduced the level of mortality …

[Retracted] A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs

K Gunasekaran, R Pitchai… - BioMed Research …, 2022 - Wiley Online Library
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a
challenging task. The blood veins visible in fundus photographs are used in several disease …

An automated glaucoma detection from fundus images based on deep learning network

R Yugha, V Vinodhini, JR Arunkumar… - … Conference on I …, 2022 - ieeexplore.ieee.org
A condition known as glaucoma, is an eye illness brought on by high intraocular pressure,
may lead to total blindness. On the other hand, prompt glaucoma screening-based therapy …

[Retracted] Assessment of Bacterial Isolates from the Urine Specimens of Urinary Tract Infected Patient

CMM Prasada Rao, T Vennila… - BioMed Research …, 2022 - Wiley Online Library
Urinary tract infections (UTIs) maintained a serious public health concern, as did the growth
in antibiotic resistance both between uropathogenic microorganisms. A regular assessment …

[Retracted] Deep Convolutional Neural Network Mechanism Assessment of COVID‐19 Severity

J Nirmaladevi, M Vidhyalakshmi… - BioMed Research …, 2022 - Wiley Online Library
As an epidemic, COVID‐19's core test instrument still has serious flaws. To improve the
present condition, all capabilities and tools available in this field are being used to combat …

[Retracted] Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach

R Srinivasan, T Lalitha, NC Brintha… - BioMed Research …, 2022 - Wiley Online Library
In distinct parts of the food web, Fusarium culmorum and Fusarium preserving the
relationship can germinate and grow zearalenone (ZEA) and fumonisins (FUM), accordingly …

[Retracted] An Image Processing Approach for Detection of Prenatal Heart Disease

S Selvan, SJJ Thangaraj… - BioMed Research …, 2022 - Wiley Online Library
Prenatal heart disease, generally known as cardiac problems (CHDs), is a group of ailments
that damage the heartbeat and has recently now become top deaths worldwide. It connects …

Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier

G Chandrasekaran, S Dhanasekaran… - Computer Methods in …, 2024 - Taylor & Francis
Multimodal sentiment analysis, an increasingly vital task in the realms of natural language
processing and machine learning, addresses the nuanced understanding of emotions and …