[HTML][HTML] Evaluation of artificial intelligence techniques in disease diagnosis and prediction
N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
[HTML][HTML] The role of artificial intelligence in prospective real-time histological prediction of colorectal lesions during colonoscopy: a systematic review and meta …
B Vadhwana, M Tarazi, V Patel - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) presents a novel platform for improving disease diagnosis.
However, the clinical utility of AI remains limited to discovery studies, with poor translation to …
However, the clinical utility of AI remains limited to discovery studies, with poor translation to …
[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …
usually occur in the extremities of long bones near metaphyseal growth plates …
[HTML][HTML] Kidney cancer prediction empowered with blockchain security using transfer learning
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors
or by genetic renal disease, and very few patients survive because there is no method for …
or by genetic renal disease, and very few patients survive because there is no method for …
IoMT‐Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning
A genetic disorder is a serious disease that affects a large number of individuals around the
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
world. There are various types of genetic illnesses, however, we focus on mitochondrial and …
[HTML][HTML] A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron
Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and
young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise …
young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise …
[HTML][HTML] Network meddling detection using machine learning empowered with blockchain technology
The study presents a framework to analyze and detect meddling in real-time network data
and identify numerous meddling patterns that may be harmful to various communication …
and identify numerous meddling patterns that may be harmful to various communication …
Hematologic cancer detection using white blood cancerous cells empowered with transfer learning and image processing
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases and affect
all types of age groups including male and female, and disastrous and fatal blood cancer …
all types of age groups including male and female, and disastrous and fatal blood cancer …
[PDF][PDF] Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
Breast cancer (BC) is the most widespread tumor in females worldwide and is a severe
public health issue. BC is the leading reason of death affecting females between the ages of …
public health issue. BC is the leading reason of death affecting females between the ages of …
Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
With recent advances in precision medicine and healthcare computing, there is an
enormous demand for developing machine learning algorithms in genomics to enhance the …
enormous demand for developing machine learning algorithms in genomics to enhance the …