ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification

ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification

<p dir="ltr">Computer-aided disease diagnosis and prognosis based on medical images is a rapidly emerging field. Many Convolutional Neural Network (CNN) architectures have been developed by researchers for disease classification and localization from chest X-ray images. It is known t...

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Bibliographic Details
Main Author: Md. Iqbal Hossain (723299) (author)
Other Authors: Mohammad Zunaed (21734633) (author), Md. Kawsar Ahmed (21734636) (author), S. M. Jawwad Hossain (21734639) (author), Anwarul Hasan (1332066) (author), Taufiq Hasan (17949200) (author)
Published: 2024
Subjects:
Engineering
Biomedical engineering
Information and computing sciences
Machine learning
Anatomical prior
anatomy-aware attention
chest X-ray
thoracic disease classification
Diseases
Lung
X-ray imaging
Location awareness
Feature extraction
Probabilistic logic
Anatomy
Classification algorithms
Lesions
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