Adaptive Aquila Optimizer with explainable artificial intelligence-enabled cancer diagnosis on medical imaging
Simple Summary For automated cancer diagnosis on medical imaging, explainable artificial
intelligence technology uses advanced image analysis methods like deep learning to make …
intelligence technology uses advanced image analysis methods like deep learning to make …
Explainable Artificial Intelligence (XAI) for deep learning based medical imaging classification
Recently, deep learning has gained significant attention as a noteworthy division of artificial
intelligence (AI) due to its high accuracy and versatile applications. However, one of the …
intelligence (AI) due to its high accuracy and versatile applications. However, one of the …
Explainable soft attentive efficientnet for breast cancer classification in histopathological images
Blockchain (BC) is believed to be the cancer that occurs most frequently in women
worldwide, taking the lives of it's the victims. In early diagnosis aids the patients to survive …
worldwide, taking the lives of it's the victims. In early diagnosis aids the patients to survive …
Explainable artificial intelligence with metaheuristic feature selection technique for biomedical data classification
Recently, explainable artificial intelligence (XAI) becomes a hot research topic due to its
decision-making abilities in several real-time applications, particularly health care. The …
decision-making abilities in several real-time applications, particularly health care. The …
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
M Hossain, SS Haque, H Ahmed, HA Mahdi, A Aich - 2022 - dspace.bracu.ac.bd
Colon cancer is one the most prominent and daunting life threatening illnesses in the world.
Histopathological diagnosis is one of the most important factors in determining cancer type …
Histopathological diagnosis is one of the most important factors in determining cancer type …
Doctor's dilemma: evaluating an explainable subtractive spatial lightweight convolutional neural network for brain tumor diagnosis
In Medicine Deep Learning has become an essential tool to achieve outstanding diagnosis
on image data. However, one critical problem is that Deep Learning comes with …
on image data. However, one critical problem is that Deep Learning comes with …
Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …
AI-Enabled Computational Techniques for Cancer Diagnosis
P Bhardwaj, Y Kumar… - 2021 IEEE 8th Uttar …, 2021 - ieeexplore.ieee.org
Cancer is the world's top cause of death, expected to claim roughly 10 million lives by 2020.
In clinics, medical practitioners employ a variety of approaches to diagnose cancer, such as …
In clinics, medical practitioners employ a variety of approaches to diagnose cancer, such as …
[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
WH Abir, MF Uddin, FR Khanam, T Tazin… - Computational …, 2022 - Wiley Online Library
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the
immune system. They are also known as “defender cells.” But the imbalance in the number …
immune system. They are also known as “defender cells.” But the imbalance in the number …
AHA-AO: artificial hummingbird algorithm with Aquila optimization for efficient feature selection in medical image classification
This paper presents a system for medical image diagnosis that uses transfer learning (TL)
and feature selection techniques. The main aim of TL on pre-trained models such as …
and feature selection techniques. The main aim of TL on pre-trained models such as …