Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
revolutionary techniques for processing information. It leverages the power of quantum bits …
Review of medical image processing using quantum-enabled algorithms
Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …
for accurate diagnosis, treatment, and management of various diseases. Since quantum …
Analysis of quantum machine learning algorithms in noisy channels for classification tasks in the iot extreme environment
SK Satpathy, V Vibhu, BK Behera… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
By 2050, there will be a 50% rise in energy demand, and existing natural and renewable
resources will be under extreme scrutiny. Optimizing current power generation and …
resources will be under extreme scrutiny. Optimizing current power generation and …
Efficient superpixel-based brain MRI segmentation using multi-scale morphological gradient reconstruction and quantum clustering
Segmentation of brain MRI images is a fundamental task in medical image analysis.
However, existing clustering methods often face significant challenges, including high …
However, existing clustering methods often face significant challenges, including high …
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
A Ghasemi, S Hashtarkhani, DL Schwartz… - Cancer …, 2024 - Wiley Online Library
With the advances in artificial intelligence (AI), data‐driven algorithms are becoming
increasingly popular in the medical domain. However, due to the nonlinear and complex …
increasingly popular in the medical domain. However, due to the nonlinear and complex …
Variational quantum and quantum-inspired clustering
Here we present a quantum algorithm for clustering data based on a variational quantum
circuit. The algorithm allows to classify data into many clusters, and can easily be …
circuit. The algorithm allows to classify data into many clusters, and can easily be …
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis
As one of fundamental ways to interpret spine images, detection of vertebral landmarks is an
informative prerequisite for further diagnosis and management of spine disorders such as …
informative prerequisite for further diagnosis and management of spine disorders such as …
[HTML][HTML] Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review
Background: The interpretability and explainability of machine learning (ML) and artificial
intelligence systems are critical for generating trust in their outcomes in fields such as …
intelligence systems are critical for generating trust in their outcomes in fields such as …
Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration
Accurate diagnosis of pediatric posterior fossa tumors (PFTs) is critical for saving lives;
however, the limited number of specialists makes accurate diagnostics scarce. To make the …
however, the limited number of specialists makes accurate diagnostics scarce. To make the …
[HTML][HTML] A Comprehensive Review of Explainable AI for Disease Diagnosis
AA Biswas - Array, 2024 - Elsevier
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …