Article
Multidisciplinary Sciences
Kazuyoshi Okawa, Tatsuya Inoue, Ryo Asaoka, Keiko Azuma, Ryo Obata, Rei Arasaki, Shouko Ikeda, Arisa Ito, Maiko Maruyama-Inoue, Yasuo Yanagi, Kazuaki Kadonosono
Summary: Cigarette smoking is associated with increased SFCT in patients with CSC. Thicker choroid in smoking CSC patients may play an important role in modulating the disease. Age, SE, and past smoking history are key factors influencing SFCT.
Article
Multidisciplinary Sciences
Teresa Araujo, Guilherme Aresta, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Summary: This study performs a comparative analysis of uncertainty estimation methods for out-of-distribution (OOD) detection in automated screening and staging of age-related macular degeneration (AMD) using retinal OCT imaging. The combination of cosine distance in the feature space and a few-shot outlier exposure (OE) approach improves the near-OOD detection performance, providing robust and reliable diagnostic systems.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Lianghui Xu, Liejun Wang, Shuli Cheng, Yongming Li
Summary: This article discusses three common retinal diseases and proposes a hybrid attention mechanism for identifying and classifying different types of retinopathy images. Experimental results demonstrate that this mechanism can effectively extract key features and improve classification accuracy.
Article
Ophthalmology
Jia Yu, Xiaofeng Ye, Lei Li, Qing Chang, Chunhui Jiang
Summary: The study investigated the relationship between changes in the photoreceptor layer (PRL) before half-dose PDT and functional and anatomical outcomes in CSC. The results showed that different PRL change categories were closely related to visual acuity and anatomical changes after treatment, providing valuable information for clinicians to determine the optimal timing for half-dose PDT in CSC patients.
Article
Medicine, General & Internal
Timothy Y. Y. Lai, Ziqi Tang, Adrian C. W. Lai, Simon K. H. Szeto, Ricky Y. K. Lai, Carol Y. Cheung
Summary: The specific form of drusen, known as pachydrusen, is associated with pachychoroid eye diseases, such as central serous chorioretinopathy (CSC) and polypoidal choroidal vasculopathy (PCV). This study found that pachydrusen are more prevalent in PCV than CSC and may be linked to age and more extensive abnormalities in fundus autofluorescence (FAF).
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Multidisciplinary Sciences
Young Ho Kim, Edward Kang, Jaeryung Oh
Summary: This study used en-face optical coherence tomography to investigate the location of pigment epithelial detachment (PED) in relation to various anatomical landmarks in the eye. The results suggest that the development of complicated PED with choroidal neovascularisation (CNV) can be attributed to both choroidal vascular abnormalities and retinal pigment epithelial insufficiency.
SCIENTIFIC REPORTS
(2022)
Article
Ophthalmology
Reza Karkhaneh, Mohsen Toufighi, Akbar Amirfiroozy, Aliasghar Ahmad-Raji, Oveis Ahmadzadeh, Alborz Mahdavi, Morteza Naderan
Summary: The rs3753394 polymorphism is possibly associated with CSCR in Persian ethnicity. Further study is needed to confirm the implications of this finding in clinical practice.
Article
Medicine, General & Internal
Xingguo Wang, Yanyan Zhang, Yuhui Ma, William Robert Kwapong, Jianing Ying, Jiayi Lu, Shaodong Ma, Qifeng Yan, Quanyong Yi, Yitian Zhao
Summary: In this study, a new automated framework driven by deep learning was introduced to extract three-dimensional parameters from retinal OCT images for quantification of retinal HRF in DME patients. The results revealed significant differences in the amount and volume of HRF subtypes and showed that the distance between HRF and retinal pigmented epithelium decreased after treatment. The improvement in central macular thickness was positively correlated with the distance from HRF subtypes to the fovea.
FRONTIERS IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mengmeng Zhao, Zhenzhen Lu, Shuyuan Zhu, Xiaobing Wang, Jihong Feng
Summary: The proposed automatic generation algorithm for retinal OCT images based on GAN can alleviate the problem of insufficient high-quality images in deep learning and improve the diagnosis performance. The generated images were evaluated by subjective visual observation, FID scores, and a classification experiment.
Article
Ophthalmology
Sukanya Gorhe, Manpreet Kaur Chugh, Nikita Goel, Zubin D'Souza, Kumar Saurabh, Rupak Roy
Summary: This retrospective study analyzed the effect of cataract extraction on intraocular pressure (IOP) in patients with angle closure disease. The results showed that cataract surgery leads to a significant reduction in IOP and can be considered as an initial treatment for controlling IOP in advanced or medically uncontrolled angle closure disease.
INDIAN JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Ophthalmology
Niroj Kumar Sahoo, Joshua Ong, Amrish Selvam, Dmitri Maltsev, Riccardo Sacconi, Ramesh Venkatesh, Nikitha Gurram Reddy, Shivam Madan, Beatrice Tombolini, Luiz H. Lima, Varsha Pramil, Giridhar Anantharaman, Antonio Marcelo Casella, Gerardo Ledesma-Gil, Nadia Waheed, Enrico Borrelli, Giuseppe Querques, Jay Chhablani
Summary: This study analyzed the longitudinal changes in visual acuity and risk factors for recurrence or development of choroidal neovascularisation (CNV) in eyes with acute or chronic central serous chorioretinopathy (CSCR). The results showed that the recurrence rate of CNV was approximately 30%, and higher age and a higher number of recurrences were associated with a higher risk of early de novo CNV formation.
Article
Ophthalmology
Satoru Kanda, Han Peng Zhou, Tatsuya Inoue, Ryosuke Fujino, Aya Sugiura, Yurika Aoyama, Kazuaki Kadonosono, Maiko Maruyama-Inoue, Ryo Obata, Ryo Asaoka
Summary: Retinal sensitivity is associated with retinal structure in eyes with central serous chorioretinopathy (CSC), and these parameters can be used to predict changes in visual function prior to treatment.
GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY
(2022)
Article
Medicine, General & Internal
Yuying Ji, Yuhong Gan, Yongyue Su, Yining Zhang, Miaoling Li, Lan Mi, Chengguo Zuo, Feng Wen
Summary: This study found that macular pigment optical density (MPOD) decreased within 7 degrees of eccentricity in patients with acute central serous chorioretinopathy (CSC), but there were no changes in serum lutein and zeaxanthin levels. The decrease in MPOD may be due to subretinal fluid. Further investigation is needed to determine the involvement of local oxidative stress in CSC and whether supplementation with lutein and zeaxanthin is beneficial.
FRONTIERS IN MEDICINE
(2022)
Article
Ophthalmology
Marta Zola, Elodie Bousquet, Catherine Favard, Anthony Gigon, Irmela Mantel, Francine Behar-Cohen
Summary: The study aimed to assess the occurrence of late phase hyperfluorescent plaque (LPHP) in Type 1 macular neovascularization (MNV) in central serous chorioretinopathy (CSCR) and age-related macular degeneration (AMD) and evaluate its prognostic value. Retrospective analysis of Type 1 MNV eyes in AMD and CSCR patients from 2012 to 2020 was conducted. It was found that the presence of LPHP was less common in CSCR patients compared to AMD patients, and LPHP was associated with poorer visual acuity. The use of late phase indocyanine green angiography imaging provides insights into treatment response.
RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
(2023)
Article
Ophthalmology
Tiarnan D. L. Keenan, Usha Chakravarthy, Anat Loewenstein, Emily Y. Chew, Ursula Schmidt-Erfurth
Summary: The study evaluated the use of artificial intelligence algorithms to extract retinal fluid volume data from OCT scans for treatment of NVAMD. The results showed rapid decrease in fluid volumes with anti-VEGF therapy, and the importance of quantitative measures of IRF, SRF, and PED as biomarkers in NV-AMD. Using nanoliters as a convenient unit for consistency between studies is proposed.
AMERICAN JOURNAL OF OPHTHALMOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi
Summary: This paper introduces a novel multi-scale contour instance segmentation framework to address the challenges of cluttered and concealed contraband data in baggage X-ray scans. The framework outperforms state-of-the-art methods on three public datasets and is the first of its kind to leverage multi-scale information for recognizing contraband data from security X-ray imagery.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Biomedical
Rao Farhat Masood, Imtiaz Ahmad Taj, Muhammad Babar Khan, Muhammad Asad Qureshi, Taimur Hassan
Summary: This paper introduces a lumbar assessment framework with autonomous extraction of spinal measurements, achieving high accuracy in spondylolisthesis classification and lumbar lordosis assessment. The framework also demonstrates reliable semantic segmentation of vertebral bodies and strong correlation with clinicians' grading in various measurements, along with low mean absolute error.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Chemistry, Analytical
Asad Mansoor Khan, Taimur Hassan, Muhammad Usman Akram, Norah Saleh Alghamdi, Naoufel Werghi
Summary: The paper proposes a continual learning objective to address the catastrophic forgetting issue in deep learning and achieves high accuracy and F1 scores across multiple datasets and different applications.
Article
Telecommunications
Mahmood ul Hassan, Shahzad Ali, Khalid Mahmood, Sami Dhahbi, Muhammad Akram, Safdar Zaman, Muhammad Kashif Saeed, Mohammed Maray
Summary: This paper proposes a Connectivity Restoration by Clustering (CRC) mechanism, which uses clustering to efficiently restore connectivity and address node failure in the Internet of Things, improving the energy efficiency of the network.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Shumaila Aleem, Noor ul Huda, Rashid Amin, Samina Khalid, Sultan S. Alshamrani, Abdullah Alshehri
Summary: Stress, anxiety, and fast-paced lifestyles have significantly affected people's mental health worldwide. Machine learning is being utilized in the field of mental health to predict and treat depression. This review paper presents various machine learning algorithms used for depression detection and diagnosis, along with a general model for depression diagnosis.
Article
Multidisciplinary Sciences
Adel Sulaiman, Marium Sadiq, Yasir Mehmood, Muhammad Akram, Ghassan Ahmed Ali
Summary: This paper proposes a fitness-based acceleration coefficient binary particle swarm optimization (FACBPSO) algorithm for solving the discounted 0-1 knapsack problem. The algorithm adjusts the values of acceleration coefficients based on the fitness of each particle, leading to improved convergence speed and reduced computing time.
Review
Computer Science, Cybernetics
Muhammad Akram, Ghassan Ahmed Ali, Adel Sulaiman, Mahmood ul Hassan
Summary: This study evaluates the accessibility of Arabic version websites of thirty-three Saudi universities and finds known and potential accessibility issues. The research also suggests that automated evaluation tools are not sufficient and involving disabled users in further research is recommended.
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY
(2023)
Article
Automation & Control Systems
Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi
Summary: This study introduces a novel method for identifying contraband items in baggage X-ray scans, utilizing an encoder-decoder network structure that evolves during training to recognize individual instances, and shows superior performance in challenging scenarios compared to current state-of-the-art methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Adel Sulaiman, Hameedur Rahman, Numan Ali, Asadullah Shaikh, Muhammad Akram, Wei Hong Lim
Summary: Augmented reality technology plays a significant role in preschool education by providing interactive learning methods that engage students and enhance their motivation to learn English alphabets.
Article
Computer Science, Hardware & Architecture
Ghassan Ahmed Ali, Thamer Mitib Ahmad Al Sariera, Muhammad Akram, Adel Sulaiman, Fekry Olayah
Summary: This paper proposes a new technique to extract and classify hemorrhages in fundus images caused by diabetic retinopathy. The technique masks normal objects and applies feature extraction and support vector machine classification to identify hemorrhages. Experimental results show that the linear SVM classifier performs better in terms of sensitivity and accuracy, while the quadratic SVM classifier performs better in terms of specificity.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Cybernetics
Muhammad Mujtaba Asad, Aqsa Naz, Asadullah Shaikh, Mesfer Alrizq, Muhammad Akram, Abdullah Alghamdi
Summary: This paper examines the integration of the Internet of Things in higher education to improve students' academic performance in the engineering domain through the use of smart laboratories. The findings suggest that IoT-based labs have significant advantages in enhancing students' academic performance through interaction, motivation, creativity, and practical learning.
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY
(2022)
Article
Computer Science, Information Systems
Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Muhammad Abdullah Aamer Baqai, Muhammad Abbas
Summary: Recent advancements in transformers have been applied to computer vision problems, resulting in state-of-the-art models. Transformer-based models have shown remarkable performance in various sequence prediction tasks such as language translation, sentiment classification, and caption generation. The use of transformers as encoder and decoder in caption or report writing tasks is still unexplored.
Article
Medicine, General & Internal
Ayesha Mehboob, Muhammad Usman Akram, Norah Saleh Alghamdi, Anum Abdul Salam
Summary: Diabetic Retinopathy, a common eye disease that can lead to vision impairment and blindness, can now be detected at an early stage using deep learning frameworks. The second framework, which incorporates normalized, HSV, and RGB fundus images, achieved the highest accuracy among the tested frameworks.
Article
Medicine, General & Internal
Noor ul Huda, Anum Abdul Salam, Norah Saleh Alghamdi, Jahan Zeb, Muhammad Usman Akram
Summary: Diabetic retinopathy is a condition where diabetic patients experience severe vision loss due to abnormal blood vessels growing on the retina. The final and most critical stage is proliferative diabetic retinopathy (PDR), where these blood vessels cause retinal detachment and potential blindness. This paper introduces a novel method for detecting and grading neovascularization, enhancing automated disease detection and achieving accurate results.
Article
Computer Science, Information Systems
Hajira Saleem, Faisal Riaz, Asadullah Shaikh, Khairan Rajab, Adel Rajab, Muhammad Akram, Mana Saleh Al Reshan
Summary: Deep learning techniques, especially convolutional neural networks (CNNs), have shown remarkable performance in solving vision-related problems, with a focus on architectural design and hyperparameter optimization globally. Metaheuristic algorithms have been proven superior for optimizing CNNs compared to manual-tuning. By applying the bat algorithm and particle swarm optimization algorithm, researchers have found improvements in the steering angle prediction problem in autonomous vehicles.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)