Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …
Clinically verified hybrid deep learning system for retinal ganglion cells aware grading of glaucomatous progression
Objective: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous
progression can be easily monitored by analyzing the degeneration of retinal ganglion cells …
progression can be easily monitored by analyzing the degeneration of retinal ganglion cells …
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology
The identification of retinal lesions plays a vital role in accurately classifying and grading
retinopathy. Many researchers have presented studies on optical coherence tomography …
retinopathy. Many researchers have presented studies on optical coherence tomography …
Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …
severe visual impairments or even blindness. Many researchers have developed …
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans
Retinopathy refers to any injury in the retinal region of the eye that can lead to distorted
vision or even blindness. The segmentation of retinal lesions or biomarkers is crucial for the …
vision or even blindness. The segmentation of retinal lesions or biomarkers is crucial for the …
Automated retinal edema detection from fundus and optical coherence tomography scans
Retinal edema is a retinal condition prominently found in diabetes patients, which is caused
due to unusual deposit of cystoid fluid in the surrounding macula region. The risk of central …
due to unusual deposit of cystoid fluid in the surrounding macula region. The risk of central …
TM-BERT: a Twitter Modified BERT for sentiment analysis on covid-19 vaccination tweets
MT Riaz, MS Jahan, SG Khawaja… - … Conference on Digital …, 2022 - ieeexplore.ieee.org
In transfer learning a model is pre-trained on a large unsupervised dataset and then fine-
tuned on domain-specific downstream tasks. BERT is the first true-natured deep …
tuned on domain-specific downstream tasks. BERT is the first true-natured deep …
YAAD: young adult's affective data using wearable ECG and GSR sensors
Emotions play a significant role in human-computer interaction and entertainment
consumption behavior, which young adults commonly use. The main challenge is the lack of …
consumption behavior, which young adults commonly use. The main challenge is the lack of …
Convolutional neural network based thermal image classification
Q Ashfaq, MU Akram - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Classification of Thermal Images has been extensively used for its significant applications in
many fields. There are many problems with the visible spectrum like object shadows, clothes …
many fields. There are many problems with the visible spectrum like object shadows, clothes …