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The augmented radiologist: artificial intelligence in the practice of radiology
E Sorantin, MG Grasser, A Hemmelmayr… - Pediatric …, 2022 - Springer
In medicine, particularly in radiology, there are great expectations in artificial intelligence
(AI), which can “see” more than human radiologists in regard to, for example, tumor size …
(AI), which can “see” more than human radiologists in regard to, for example, tumor size …
Artificial intelligence in the advanced diagnosis of bladder cancer-comprehensive literature review and future advancement
Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …
Modeling the spread of COVID‐19 infection using a multilayer perceptron
Coronavirus (COVID‐19) is a highly infectious disease that has captured the attention of the
worldwide public. Modeling of such diseases can be extremely important in the prediction of …
worldwide public. Modeling of such diseases can be extremely important in the prediction of …
Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm
Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …
processes. However, it is difficult to find the important genes among the high-dimensional …
[HTML][HTML] Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
S Borhani, R Borhani, A Kajdacsy-Balla - Critical reviews in oncology …, 2022 - Elsevier
Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …
Artificial intelligence (AI) in urology-Current use and future directions: An iTRUE study
Objective Artificial intelligence (AI) is used in various urological conditions such as
urolithiasis, pediatric urology, urogynecology, benign prostate hyperplasia (BPH), renal …
urolithiasis, pediatric urology, urogynecology, benign prostate hyperplasia (BPH), renal …
[HTML][HTML] Multi-input dual-stream capsule network for improved lung and colon cancer classification
Lung and colon cancers are two of the most common causes of death and morbidity in
humans. One of the most important aspects of appropriate treatment is the histopathological …
humans. One of the most important aspects of appropriate treatment is the histopathological …
Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory
COVID‐19 is an infectious disease that mostly affects the respiratory system. At the time of
this research being performed, there were more than 1.4 million cases of COVID‐19, and …
this research being performed, there were more than 1.4 million cases of COVID‐19, and …
Cervical cancer diagnostics using machine learning algorithms and class balancing techniques
Objectives: Cervical cancer is present in most cases of squamous cell carcinoma. In most
cases, it is the result of an infection with human papillomavirus or adenocarcinoma. This …
cases, it is the result of an infection with human papillomavirus or adenocarcinoma. This …
[HTML][HTML] Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
The prediction of stock price has always been a main challenge. The time series of stock
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …