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[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …
machine learning and artificial intelligence systems are crucial for building trust in their …
[PDF][PDF] Rice varieties classification using machine learning algorithms
Rice is one of the most important crops in the world. About one-half of the world's population
is wholly dependent upon rice as food. The rice plant height is about 1.2 meters and is an …
is wholly dependent upon rice as food. The rice plant height is about 1.2 meters and is an …
Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection
In this paper, we evaluate the performance and analyze the explainability of machine
learning models boosted by feature selection in predicting COVID-19-positive cases from …
learning models boosted by feature selection in predicting COVID-19-positive cases from …
Pneumonia Net: Pneumonia Detection and Categorization in Chest X-ray Images
S Srivastava, S Verma, NN Das… - Recent Advances in …, 2024 - benthamdirect.com
Background: Pneumonia is one of the leading causes of death and disability due to
respiratory infections. The key to successful treatment of pneumonia is in its early diagnosis …
respiratory infections. The key to successful treatment of pneumonia is in its early diagnosis …
Automated Epilepsy Detection using Machine Learning Classifiers based on Entropy Features
Primary tool for studying human epileptic disease is an EEG recording. Visual Analysis of
EEG recording is a very time consuming and tedious process. Therefore, a technique that …
EEG recording is a very time consuming and tedious process. Therefore, a technique that …
Assisted Analysis of Histopathological Images
SK Singh - Computer-Assisted Analysis for Digital Medicinal …, 2024 - books.google.com
Histopathological image analysis is a specialised area of medical imaging that involves the
careful examination and interpretation of tissue samples to diagnose and investigate …
careful examination and interpretation of tissue samples to diagnose and investigate …
Computer-Assisted Analysis of Histopathological Images: A Comprehensive Review
Histopathological image analysis is a specialised area of medical imaging that involves the
careful examination and interpretation of tissue samples to diagnose and investigate …
careful examination and interpretation of tissue samples to diagnose and investigate …
Medical Image Analysis Techniques
P Pundhir, S Gupta - … -Assisted Analysis for Digital Medicinal Imagery, 2025 - igi-global.com
In the field of healthcare, medical photographs are an effective tool that is utilized for
telemedicine, record-kee**, and diagnosis. The applications of medical imaging …
telemedicine, record-kee**, and diagnosis. The applications of medical imaging …
Integrative Imaging and Molecular Profiling: Unveiling the Nexus of Genomics and Precision Medicine
Recent advancements in digital medical imagery have ushered in a new era of diagnostic
and therapeutic capabilities by integrating breakthroughs in DNA, RNA, genomics, and …
and therapeutic capabilities by integrating breakthroughs in DNA, RNA, genomics, and …
Classification of Dry Beans into Genetic Varieties Using Deep Learning-Based Convolutional Neural Networks (CNNs)
Efficient crop management, breeding programs, and the maintenance of sustainable
agriculture are all dependent on the critical task of identifying and classifying genetic …
agriculture are all dependent on the critical task of identifying and classifying genetic …