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Medical imaging and nuclear medicine: a Lancet Oncology Commission
The diagnosis and treatment of patients with cancer requires access to imaging to ensure
accurate management decisions and optimal outcomes. Our global assessment of imaging …
accurate management decisions and optimal outcomes. Our global assessment of imaging …
Lung cancer identification: a review on detection and classification
Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction
Maternal health is an important aspect of women's health during pregnancy, childbirth, and
the postpartum period. Specifically, during pregnancy, different health factors like age, blood …
the postpartum period. Specifically, during pregnancy, different health factors like age, blood …
[HTML][HTML] Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey
Lung cancer is among the deadliest cancers. Besides lung nodule classification and
diagnosis, develo** non-invasive systems to classify lung cancer histological …
diagnosis, develo** non-invasive systems to classify lung cancer histological …
Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
W Quanyang, H Yao, W Sicong, Q Linlin… - Cancer …, 2024 - Wiley Online Library
Background The exceptional capabilities of artificial intelligence (AI) in extracting image
information and processing complex models have led to its recognition across various …
information and processing complex models have led to its recognition across various …
HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model
Among all the diseases in human beings, lung cancer is known as the most hazardous
disease that often leads to death rather than other cancer ailments. Lung cancer is …
disease that often leads to death rather than other cancer ailments. Lung cancer is …
Bringing machine learning systems into clinical practice: a design science approach to explainable machine learning-based clinical decision support systems
Clinical decision support systems (CDSSs) based on machine learning (ML) hold great
promise for improving medical care. Technically, such CDSSs are already feasible but …
promise for improving medical care. Technically, such CDSSs are already feasible but …
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
Deep learning applications for lung cancer diagnosis: a systematic review
Lung cancer has been one of the most prevalent disease in recent years. According to the
research of this field, more than 200,000 cases are identified each year in the US …
research of this field, more than 200,000 cases are identified each year in the US …