Latest AI and machine learning research in lung cancer for healthcare professionals.
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and r...
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...
Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correct...
No published studies have evaluated the accuracy of volumetric measurement of solid nodules and grou...
We present a protocol which implements deep learning-based identification of the lung adenocarcinoma...
Microstructured materials that can selectively control the optical properties are crucial for the de...
BACKGROUND : There are several types of pancreatic mass, so it is important to distinguish between t...
Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learn...
Analyzing the biological data by considering the molecule interactions may induce a more accurate id...
A major challenge in treating superior sulcus tumors is achieving complete surgical resection becaus...
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) me...
Assessment of daily creatinine production and excretion plays a crucial role in the estimation of re...
Early regression-the regression in tumor volume during the initial phase of radiotherapy (approximat...
BACKGROUND AND OBJECTIVE: During lung cancer radiotherapy, the position of infrared reflective objec...
Tissue-level semantic segmentation is a vital step in computational pathology. Fully-supervised mode...
Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the ...
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformati...
In recent years, drug sensitivity prediction has garnered a great deal of attention due to the growi...
There are several x-ray computed tomography (CT) scanning strategies used to reduce radiation dose, ...
BACKGROUND: Robot-assisted thoracic surgery has gradually been accepted as an alternative treatment ...