Comparative Analysis of Two Approaches Utilizing Different Classification Algorithms Combined with CNN for Pneumonia Prediction in Chest X-Rays

Опубликована: Янв. 18, 2024

Pneumonia is a serious respiratory infection that leads to lung inflammation and the accumulation of fluid in air sacs. Prompt precise diagnosis plays pivotal role ensuring timely treatment enhancing patient outcomes. Machine learning (ML) techniques have proven be valuable tools for pneumonia detection, offering automated efficient analysis medical images, particularly chest X-rays. The objective this research assess contrast efficacy two disparate methodologies employing range classification algorithm seamlessly integrated with convolutional neural networks (CNNs) identification dataset used study combination COVID-19 Radiography database X-ray images obtained from Kaggle. In first approach, effectiveness CNN-SVM, CNN-LR, CNN-KSVM explored, while second approach involves CNN-RF, CNN-KNN, CNN-DT, CNN-NB. evaluation these different algorithms reveals CNN-SVM achieves an accuracy 95%, making it highest-performing method among seven employed research.

Язык: Английский

---

Deep learned features selection algorithm: Removal operation of anomaly feature maps (RO-AFM)

Applied Soft Computing, Год журнала: 2024, Номер 162, С. 111809 - 111809

Опубликована: Май 26, 2024

Язык: Английский

---

Hybrid wavelength selection strategy combined with ATR-FTIR spectroscopy for preliminary exploration of vintage labeling traceability of sauce-flavor baijiu

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Год журнала: 2024, Номер 321, С. 124691 - 124691

Опубликована: Июнь 19, 2024

Язык: Английский

---

COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images

Chemometrics and Intelligent Laboratory Systems, Год журнала: 2023, Номер 236, С. 104799 - 104799

Опубликована: Март 3, 2023

Язык: Английский

---

DFS-WR: A novel dual feature selection and weighting representation framework for classification

Information Fusion, Год журнала: 2023, Номер 104, С. 102191 - 102191

Опубликована: Дек. 9, 2023

Язык: Английский

---