Recent trend in medical imaging modalities and their applications in disease diagnosis: a review

B Abhisheka, SK Biswas, B Purkayastha, D Das… - Multimedia Tools and …, 2024 - Springer
Medical Imaging (MI) plays a crucial role in healthcare, including disease diagnosis,
treatment, and continuous monitoring. The integration of non-invasive techniques such as X …

LRF: A logically randomized forest algorithm for classification and regression problems

N Jain, PK Jana - Expert Systems with Applications, 2023 - Elsevier
Tree-based ensemble algorithms (TEA s) have made significant advances in recent years
due to their simple algorithmic design. However, when the proportion of the 'most …

CDSS for early recognition of respiratory diseases based on AI techniques: a systematic review

SW Ali, M Asif, MYI Zia, M Rashid, SA Syed… - Wireless Personal …, 2023 - Springer
Respiratory diseases such as Asthma, COVID-19, etc., require preventive and precautionary
measures. Due to the lack of medical treatment for the masses, researchers are currently …

Sliding Window, Hierarchical Classification, Regression, and Genetic Algorithm for RFID Indoor Positioning Systems

EL Gomes, MSP Fonseca, AE Lazzaretti… - Expert Systems with …, 2024 - Elsevier
Several surveys in the Indoor Positioning System (IPS) use the Radio Signal Strength
Indicator (RSSI) to locate target objects. However, RSSI suffers significantly from the …

An automatic multi-class lung disease classification using deep learning based bidirectional long short term memory with spiking neural network

P Kakarla, C Vimala, S Hemachandra - Multimedia Tools and Applications, 2024 - Springer
Lung disease (LD) is a dreadful disease that affects numerous people in various ways;
hence, it is considered the foremost reason for death around the globe. To reduce LDs …

Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment

RR Shivwanshi, N Nirala - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
The intricate nature of lung cancer treatment poses considerable challenges upon
diagnosis. Early detection plays a pivotal role in mitigating its escalating global mortality …

Artificial Intelligence Techniques in Medical Imaging: A Systematic Review.

A Azizi, M Azizi - International Journal of Online & …, 2023 - search.ebscohost.com
This scientific review presents a comprehensive overview of medical imaging modalities and
their diverse applications in artificial intelligence (AI)-based disease classification and …

Accurate segmentation of lung nodule with low contrast boundaries by least weight navigation

RJ Beula, AB Wesley - Multimedia Tools and Applications, 2023 - Springer
Accurate segmentation of lung nodules with low contrast boundaries in CT images is a
challenging task since the intensity of nodules and non-nodules overlap with each other …

Incomplete handwritten Dongba character image recognition by multiscale feature restoration

X Bi, Y Luo - Heritage Science, 2024 - Springer
Incomplete handwritten Dongba character often appears in heritage documents and its
recognition is significant for heritage and philology. However, all previous methods always …

[PDF][PDF] Multi-View Auxiliary Diagnosis Algorithm for Lung Nodules.

S Qiu, B Li, T Zhou, F Li, T Liang - Computers, Materials & …, 2022 - cdn.techscience.cn
Lung is an important organ of human body. More and more people are suffering from lung
diseases due to air pollution. These diseases are usually highly infectious. Such as lung …