Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends
The emergence of smart cities and sustainable development has become a globally
accepted form of urbanization. The epitome of smart city development has become possible …
accepted form of urbanization. The epitome of smart city development has become possible …
[HTML][HTML] Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy
Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …
169 model. However, the current system for identifying metastases in a lymph node is …
[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
Diagnosis of cervical cancer based on ensemble deep learning network using colposcopy images
V Chandran, MG Sumithra, A Karthick… - BioMed Research …, 2021 - Wiley Online Library
Traditional screening of cervical cancer type classification majorly depends on the
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Quantum‐enhanced machine learning plays a vital role in healthcare because of its robust
application concerning current research scenarios, the growth of novel medical trials, patient …
application concerning current research scenarios, the growth of novel medical trials, patient …
Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)
To minimize any impediments in real-time Internet of Things (IoT)-enabled robotics
applications, this study demonstrated how to build and deploy a revolutionary framework …
applications, this study demonstrated how to build and deploy a revolutionary framework …
[HTML][HTML] Performance analysis of cost-sensitive learning methods with application to imbalanced medical data
Many real-world machine learning applications require building models using highly
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
Artificial intelligence in gynecologic cancers: Current status and future challenges–A systematic review
M Akazawa, K Hashimoto - Artificial Intelligence in Medicine, 2021 - Elsevier
Objective Over the past years, the application of artificial intelligence (AI) in medicine has
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …