TL-MED:基于集体转移学习和CRVO-BRVO检测通过单次射击多盒检测器进行多类眼病分类
Ferdaus Anam Jibon1, Fazle Rabby2, Naimur Rahman2
1Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh.
Digital health
|September 29, 2025
概括
我们开发了先进的深度学习模型来诊断眼睛疾病,如玻璃眼和糖尿病视网膜病变. 我们的整体模型实现了97%的准确性,为早期检测和改善患者护理提供了可靠的工具.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 诊断眼部疾病的传统方法有其局限性.
- 深层卷积神经网络 (DCNNs) 在医学图像分析中表现有前途.
- 转移学习可以提高DCNN的性能.
研究的目的:
- 开发和评估最先进的DCNN模型,用于诊断常见的眼病.
- 调查转移学习在提高诊断准确性的有效性.
- 创建一个整体模型,以在眼睛疾病分类中提供卓越的性能.
主要方法:
- 在3744张视网膜图像上使用转移学习训练了五个单独的DCNN模型 (VGG16,ResNet152,DenseNet169,EfficientNetB3,NASNetMobile).
- 开发了一个组合模型,将ResNet152,DenseNet169和EfficientNetB3.3结合起来.
- 使用一次性多盒探测器 (SSD) 检测视网膜静脉封闭.
主要成果:
- DenseNet169实现了96%的准确性,而NASNetMobile实现了87%的准确性.
- 整体模型的表现优于单个模型,达到97%的峰值精度.
- 结果表明,转移学习对于强大的眼睛疾病分类的有效性.
结论:
- 使用DCNN的人工智能驱动的方法为早期和精确检测眼病提供了可靠的解决方案.
- 提出的模型可以帮助医疗保健专业人员进行诊断,从而改善患者护理.
- 这项工作有助于在眼科中开发先进的诊断工具.
更多相关视频
12:22Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
Published on: August 4, 2018
8.9K
07:12Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
Published on: April 11, 2025
878
相关概念视频
Force Classification
2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
Classification of Systems-II
458
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
458
Classification of Systems-I
552
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
552
Classification of Illness
8.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.6K
Classification of Signals
1.3K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.3K
Glaucoma: Overview
1.2K
Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
1.2K
