Zobrazeno 1 - 10
of 87 163
pro vyhledávání: '"Disease classification"'
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
Lemons and oranges, both are the most economically significant citrus fruits globally. The production of lemons and oranges is severely affected due to diseases in its growth stages. Fruit quality has degraded due to the presence of flaws. Thus, it i
Externí odkaz:
http://arxiv.org/abs/2408.14206
In the field of heart disease classification, two primary obstacles arise. Firstly, existing Electrocardiogram (ECG) datasets consistently demonstrate imbalances and biases across various modalities. Secondly, these time-series data consist of divers
Externí odkaz:
http://arxiv.org/abs/2407.20249
This paper presents dilated Residual Network (ResNet) models for disease classification from retinal fundus images. Dilated convolution filters are used to replace normal convolution filters in the higher layers of the ResNet model (dilated ResNet) i
Externí odkaz:
http://arxiv.org/abs/2407.05440
Many people die from lung-related diseases every year. X-ray is an effective way to test if one is diagnosed with a lung-related disease or not. This study concentrates on categorizing three distinct types of lung X-rays: those depicting healthy lung
Externí odkaz:
http://arxiv.org/abs/2408.13180
Cardiovascular diseases are a leading cause of mortality worldwide, highlighting the need for accurate diagnostic methods. This study benchmarks centralized and federated machine learning algorithms for heart disease classification using the UCI data
Externí odkaz:
http://arxiv.org/abs/2408.06183
Publikováno v:
Appl. Sci. 2024, 14(17), 7873
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder worldwide, frequently presents with early-stage speech impairments. Recent advancements in Artificial Intelligence (AI), particularly deep learning (DL), have significantl
Externí odkaz:
http://arxiv.org/abs/2407.17844
Skin diseases affect over a third of the global population, yet their impact is often underestimated. Automating skin disease classification to assist doctors with their prognosis might be difficult. Nevertheless, due to efficient feature extraction
Externí odkaz:
http://arxiv.org/abs/2407.14757
Imaging techniques such as Chest X-rays, whole slide images, and optical coherence tomography serve as the initial screening and detection for a wide variety of medical pulmonary and ophthalmic conditions respectively. This paper investigates the int
Externí odkaz:
http://arxiv.org/abs/2408.17011
Autor:
Anjum, Md Fahim
In this work, we introduce LightCNN, a minimalist Convolutional Neural Network (CNN) architecture designed for Parkinson's disease (PD) classification using EEG data. LightCNN's strength lies in its simplicity, utilizing just a single convolutional l
Externí odkaz:
http://arxiv.org/abs/2408.10457
Artificial intelligence applied to retinal images offers significant potential for recognizing signs and symptoms of retinal conditions and expediting the diagnosis of eye diseases and systemic disorders. However, developing generalized artificial in
Externí odkaz:
http://arxiv.org/abs/2408.08790