Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures
RTHM Larue, G Defraene… - The British journal of …, 2017 - academic.oup.com
Quantitative analysis of tumour characteristics based on medical imaging is an emerging
field of research. In recent years, quantitative imaging features derived from CT, positron …
field of research. In recent years, quantitative imaging features derived from CT, positron …
Review of recent developments in determining volatile organic compounds in exhaled breath as biomarkers for lung cancer diagnosis
Lung cancer is the most common cause of cancer deaths, its global incidence is rising, and
continuing rises are predicted. The potential to diagnose lung cancers based on the …
continuing rises are predicted. The potential to diagnose lung cancers based on the …
Wsisa: Making survival prediction from whole slide histopathological images
Image-based precision medicine techniques can be used to better treat cancer patients.
However, the gigapixel resolution of Whole Slide Histopathological Images (WSIs) makes …
However, the gigapixel resolution of Whole Slide Histopathological Images (WSIs) makes …
Risk prediction models for selection of lung cancer screening candidates: a retrospective validation study
Background Selection of candidates for lung cancer screening based on individual risk has
been proposed as an alternative to criteria based on age and cumulative smoking exposure …
been proposed as an alternative to criteria based on age and cumulative smoking exposure …
Final screening round of the NELSON lung cancer screening trial: the effect of a 2.5-year screening interval
U Yousaf-Khan, C van der Aalst, PA de Jong… - Thorax, 2017 - thorax.bmj.com
Background In the USA annual lung cancer screening is recommended. However, the
optimal screening strategy (eg, screening interval, screening rounds) is unknown. This study …
optimal screening strategy (eg, screening interval, screening rounds) is unknown. This study …
Multiview convolutional neural networks for lung nodule classification
K Liu, G Kang - International Journal of Imaging Systems and …, 2017 - Wiley Online Library
To find a better way to screen early lung cancer, motivated by the great success of deep
learning, we empirically investigate the challenge of classifying lung nodules in computed …
learning, we empirically investigate the challenge of classifying lung nodules in computed …
Lung cancer screening
RM Hoffman, R Sanchez - Medical Clinics, 2017 - medical.theclinics.com
Lung cancer is the second most frequently diagnosed cancer in the United States and the
leading cause of cancer death. In 2016, 224,390 new lung cancer cases were expected …
leading cause of cancer death. In 2016, 224,390 new lung cancer cases were expected …
ConvNet-based localization of anatomical structures in 3-D medical images
Localization of anatomical structures is a prerequisite for many tasks in a medical image
analysis. We propose a method for automatic localization of one or more anatomical …
analysis. We propose a method for automatic localization of one or more anatomical …
Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose–a prospective intra-individual comparative study
M Messerli, T Kluckert, M Knitel, S Wälti, L Desbiolles… - European …, 2017 - Springer
Purpose To prospectively evaluate the accuracy of ultralow radiation dose CT of the chest
with tin filtration at 100 kV for pulmonary nodule detection. Materials and methods 202 …
with tin filtration at 100 kV for pulmonary nodule detection. Materials and methods 202 …
Identification of serological biomarkers for early diagnosis of lung cancer using a protein array-based approach
Lung cancer (LC) remains the leading cause of mortality from malignant tumors worldwide.
Currently, a lack of serological biomarkers for early LC diagnosis is a major roadblock for …
Currently, a lack of serological biomarkers for early LC diagnosis is a major roadblock for …