Explainable ensemble learning method for OCT detection with transfer learning
J Yang, G Wang, X Xiao, M Bao, G Tian - Plos one, 2024 - journals.plos.org
The accuracy and interpretability of artificial intelligence (AI) are crucial for the advancement
of optical coherence tomography (OCT) image detection, as it can greatly reduce the manual …
of optical coherence tomography (OCT) image detection, as it can greatly reduce the manual …
Multi-Fundus Diseases Classification Using Retinal Optical Coherence Tomography Images with Swin Transformer V2
Z Li, Y Han, X Yang - Journal of Imaging, 2023 - mdpi.com
Fundus diseases cause damage to any part of the retina. Untreated fundus diseases can
lead to severe vision loss and even blindness. Analyzing optical coherence tomography …
lead to severe vision loss and even blindness. Analyzing optical coherence tomography …
Optimizing Ocular Pathology Classification with CNNs and OCT Imaging: A Systematic and Performance Review
W Hauri-Rosales, O Pérez, M Garcia-Roa… - medRxiv, 2024 - medrxiv.org
Vision loss due to chronic-degenerative diseases is a primary cause of blindness worldwide.
Deep learning architectures utilizing optical coherence tomography images have proven …
Deep learning architectures utilizing optical coherence tomography images have proven …
[HTML][HTML] Early macular edema recognition after cataract surgery based on U-Net assisted optical coherence tomography
M Liu, S Wang - Journal of Radiation Research and Applied Sciences, 2024 - Elsevier
Objective The optical coherence tomography (OCT) model of macular edema in
postoperative cataract patients is constructed by using convolutional neural network (CNN) …
postoperative cataract patients is constructed by using convolutional neural network (CNN) …
Severity based detection of conjunctivitis and drug recommendation system using CNN
VR Prakash, S Sasikumar, M Hari… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
The classification of an eye disease may be useful in the clinical setting for describing the
current state of the eye, evaluating the effectiveness of treatment, and selecting the best …
current state of the eye, evaluating the effectiveness of treatment, and selecting the best …
Eyes Disease Detection Using Deep Learning Methodologies
P Jain, S Patidar - 2023 10th IEEE Uttar Pradesh Section …, 2023 - ieeexplore.ieee.org
Our eyes are fundamental part of our daily lives, enabling us to engage and interact with the
surroundings. Our eyes serve as vital sensory organs, providing us with a wealth of …
surroundings. Our eyes serve as vital sensory organs, providing us with a wealth of …
[PDF][PDF] Диагностика патологий сетчатки по снимкам оптической когерентной томографии с использованием инструментов искусственного интеллекта
ВВ Нероев, АА Брагин, ОВ Зайцева - Российский офтальмологический …, 2023 - roj.igb.ru
Аннотация Важность раннего выявления и мониторинга заболеваний сетчатки
обусловливает актуальность исследования, посвященного диагностике патологий …
обусловливает актуальность исследования, посвященного диагностике патологий …
Classificação automática de imagens de células sanguíneas usando redes neurais convolucionais
JAS Fonteles - 2024 - repositorio.ufc.br
This work aims to establish an automatic method for classifying blood images to support the
diagnosis of diseases. The classification of white blood cells (WBC), which refers to the cells …
diagnosis of diseases. The classification of white blood cells (WBC), which refers to the cells …