[HTML][HTML] Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …
grows, especially in high-stakes decision making areas such as medical image analysis …
[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
[HTML][HTML] Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
[HTML][HTML] ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images
Glaucoma is one of the prevalent causes of blindness in the modern world. It is a salient
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
Applications of deep learning in detection of glaucoma: a systematic review
D Mirzania, AC Thompson… - European Journal of …, 2021 - journals.sagepub.com
Glaucoma is the leading cause of irreversible blindness and disability worldwide.
Nevertheless, the majority of patients do not know they have the disease and detection of …
Nevertheless, the majority of patients do not know they have the disease and detection of …
[HTML][HTML] Literature review on artificial intelligence methods for glaucoma screening, segmentation, and classification
Artificial intelligence techniques are now being applied in different medical solutions ranging
from disease screening to activity recognition and computer-aided diagnosis. The …
from disease screening to activity recognition and computer-aided diagnosis. The …
Analysis of deep learning techniques for prediction of eye diseases: A systematic review
A Bali, V Mansotra - Archives of Computational Methods in Engineering, 2024 - Springer
The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …
prevention of vision loss. The identification of eye diseases has recently been the subject of …
[HTML][HTML] Review of machine learning applications using retinal fundus images
Y Jeong, YJ Hong, JH Han - Diagnostics, 2022 - mdpi.com
Automating screening and diagnosis in the medical field saves time and reduces the
chances of misdiagnosis while saving on labor and cost for physicians. With the feasibility …
chances of misdiagnosis while saving on labor and cost for physicians. With the feasibility …
[HTML][HTML] Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …