Combining convolutional neural networks and self-attention for fundus diseases identification
K Wang, C Xu, G Li, Y Zhang, Y Zheng, C Sun - Scientific Reports, 2023 - nature.com
Early detection of lesions is of great significance for treating fundus diseases. Fundus
photography is an effective and convenient screening technique by which common fundus …
photography is an effective and convenient screening technique by which common fundus …
Conv-ViT: a convolution and vision transformer-based hybrid feature extraction method for retinal disease detection
The current advancement towards retinal disease detection mainly focused on distinct
feature extraction using either a convolutional neural network (CNN) or a transformer-based …
feature extraction using either a convolutional neural network (CNN) or a transformer-based …
An effective and robust approach based on r-cnn+ lstm model and ncar feature selection for ophthalmological disease detection from fundus images
Changes in and around anatomical structures such as blood vessels, optic disc, fovea, and
macula can lead to ophthalmological diseases such as diabetic retinopathy, glaucoma, age …
macula can lead to ophthalmological diseases such as diabetic retinopathy, glaucoma, age …
Deep learning based convolutional neural network structured new image classification approach for eye disease identification
I Topaloglu - Scientia Iranica, 2023 - scientiairanica.sharif.edu
A deep learning-based convolutional artificial neural networks structured a new image
classification method approach was implemented in the study. Sample application was …
classification method approach was implemented in the study. Sample application was …
Advanced Multi-Label Image Classification Techniques Using Ensemble Methods
Chest X-rays are vital in healthcare for diagnosing various conditions due to their low
Radiation exposure, widespread availability, and rapid interpretation. However, their …
Radiation exposure, widespread availability, and rapid interpretation. However, their …
Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
L Lu, X Pan, P Jin, Y Ding - … Conference on Medical Image Computing and …, 2023 - Springer
Myopic maculopathy is a highly myopic retinal disorder that often occurs in highly myopic
patients, serving as a major cause of visual impairment and blindness in numerous …
patients, serving as a major cause of visual impairment and blindness in numerous …
LayNet—A multi-layer architecture to handle imbalance in medical imaging data
J Jani, J Doshi, I Kheria, K Mehta, C Bhadane… - Computers in Biology …, 2023 - Elsevier
In an imbalanced dataset, a machine learning classifier using traditional imbalance handling
methods may achieve good accuracy, but in highly imbalanced datasets, it may over-predict …
methods may achieve good accuracy, but in highly imbalanced datasets, it may over-predict …
Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks
Performing a minimally invasive surgery comes with a significant advantage regarding
rehabilitating the patient after the operation. But it also causes difficulties, mainly for the …
rehabilitating the patient after the operation. But it also causes difficulties, mainly for the …
Iridology based human health conditions predictions with computer vision and deep learning
VV Avhad, JW Bakal - Biomedical Signal Processing and Control, 2024 - Elsevier
In today's world, ocular diseases have become widespread. The “ocular illness” refers to any
abnormality, impairment, or dysfunction of vision that impacts the eye. The most common …
abnormality, impairment, or dysfunction of vision that impacts the eye. The most common …
Composing Diverse Ensembles of Convolutional Neural Networks by Penalization
Ensemble-based systems are well known to have the capacity to outperform individual
approaches if the ensemble members are sufficiently accurate and diverse. This paper …
approaches if the ensemble members are sufficiently accurate and diverse. This paper …