AIMC Topic: Neural Networks, Computer

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[Artificial neural networks as a psychiatric instrument].

Tijdschrift voor psychiatrie
BACKGROUND: Artificial intelligence (AI) has evolved enormously over the past decade and is increasingly being applied to a range of domains, including psychiatry. AI encompasses several modalities, including artificial neural networks (ANNs), referr...

Quantitative Structure Activity/Toxicity Relationship through Neural Networks for Drug Discovery or Regulatory Use.

Current topics in medicinal chemistry
Quantitative structure - activity relationship (QSAR) modelling is widely used in medicinal chemistry and regulatory decision making. The large amounts of data collected in recent years in materials and life sciences projects provide a solid foundati...

Image Reconstruction Using Deep Learning for Near-Infrared Optical Tomography: Generalization Assessment.

Advances in experimental medicine and biology
Time is one of the most critical factors in preventing brain lesions due to hypoxic ischemia in preterm infants. Since early detection of low oxygenation is vital and the time window for therapy is narrow, near-infrared optical tomography (NIROT) mus...

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging.

Journal of X-ray science and technology
BACKGROUND: Dental panoramic imaging plays a pivotal role in dentistry for diagnosis and treatment planning. However, correctly positioning patients can be challenging for technicians due to the complexity of the imaging equipment and variations in p...

A densely connected LDCT image denoising network based on dual-edge extraction and multi-scale attention under compound loss.

Journal of X-ray science and technology
BACKGROUND: Low dose computed tomography (LDCT) uses lower radiation dose, but the reconstructed images contain higher noise that can have negative impact in disease diagnosis. Although deep learning with the edge extraction operators reserves edge i...

Application of Deep Learning in Cancer Prognosis Prediction Model.

Technology in cancer research & treatment
As an important branch of artificial intelligence and machine learning, deep learning (DL) has been widely used in various aspects of cancer auxiliary diagnosis, among which cancer prognosis is the most important part. High-accuracy cancer prognosis ...

Classification of Histopathological Images from Breast Cancer Patients Using Deep Learning: A Comparative Analysis.

Critical reviews in biomedical engineering
Cancer, a leading cause of mortality, is distinguished by the multi-stage conversion of healthy cells into cancer cells. Discovery of the disease early can significantly enhance the possibility of survival. Histology is a procedure where the tissue o...

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Accurate extraction of coronary arteries from invasive coronary angiography (ICA) images is essential for the diagnosis and risk stratification of coronary artery disease (CAD).

[Age assessment using CT of knee joint and neural network technologies].

Sudebno-meditsinskaia ekspertiza
Age assessment of living persons plays an important role in clinical and sports medicine, as well as in law practice. Traditional methods have a number of problems: age restrictions, technical difficulties of visualization, low reproducibility and su...