Biomedical applications of metal− organic frameworks for disease diagnosis and drug delivery: a review
Metal− organic frameworks (MOFs) are a novel class of porous hybrid organic− inorganic
materials that have attracted increasing attention over the past decade. MOFs can be used …
materials that have attracted increasing attention over the past decade. MOFs can be used …
[Retracted] Deep Learning for Ocular Disease Recognition: An Inner‐Class Balance
MS Khan, N Tafshir, KN Alam… - Computational …, 2022 - Wiley Online Library
It can be challenging for doctors to identify eye disorders early enough using fundus
pictures. Diagnosing ocular illnesses by hand is time‐consuming, error‐prone, and …
pictures. Diagnosing ocular illnesses by hand is time‐consuming, error‐prone, and …
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images
Abstract Chronic Ocular Diseases (COD) such as myopia, diabetic retinopathy, age-related
macular degeneration, glaucoma, and cataract can affect the eye and may even lead to …
macular degeneration, glaucoma, and cataract can affect the eye and may even lead to …
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 …
Vision transformers for small histological datasets learned through knowledge distillation
Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks.
However, the artifacts on the digitized histological glass slides, known as Whole Slide …
However, the artifacts on the digitized histological glass slides, known as Whole Slide …
Knowledge distillation in medical data mining: a survey
In recent years, there have always been many problems in the medical field, such as a
shortage of professionals and a shortage of medical resources. With the application of …
shortage of professionals and a shortage of medical resources. With the application of …
Long-tailed multi-label retinal diseases recognition via relational learning and knowledge distillation
Q Zhou, H Zou, Z Wang - … Conference on Medical Image Computing and …, 2022 - Springer
More and more people are suffering from ocular diseases, which may cause blindness if not
treated promptly. However, it is not easy to diagnose these diseases for the barely visible …
treated promptly. However, it is not easy to diagnose these diseases for the barely visible …
Ocular disease detection using advanced neural network based classification algorithms
NM Dipu, SA Shohan, KMA Salam - Asian Journal For Convergence In …, 2021 - asianssr.org
One of the most challenging tasks for ophthalmologists is early screening and diagnosis of
ocular diseases from fundus images. However, manual diagnosis of ocular diseases is …
ocular diseases from fundus images. However, manual diagnosis of ocular diseases is …
Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases
It is difficult for clinicians or less-experienced ophthalmologists to detect early eye-related
diseases. By hand, eye disease diagnosis is labor-intensive, prone to mistakes, and …
diseases. By hand, eye disease diagnosis is labor-intensive, prone to mistakes, and …
A Defect Detection Model for Industrial Products Based on Attention and Knowledge Distillation
ZK Zhang, ML Zhou, R Shao, M Li… - Computational …, 2022 - Wiley Online Library
Industrial quality detection is one of the important fields in machine vision. Big data analysis,
the Internet of Things, edge computing, and other technologies are widely used in industrial …
the Internet of Things, edge computing, and other technologies are widely used in industrial …