Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network
Background Multimodality positron emission tomography/computed tomography (PET/CT)
imaging combines the anatomical information of CT with the functional information of PET. In …
imaging combines the anatomical information of CT with the functional information of PET. In …
Machine learning of gliomas in 3D dynamic contrast enhanced MRI: automatic segmentation and classification
In this chapter, we describe two machine learning applications that we have explored: our
more recent automatic brain tumor segmentation method as well as our automatic …
more recent automatic brain tumor segmentation method as well as our automatic …
Artificial intelligence: The next frontier of perfusion imaging?
Artificial intelligence (AI) is an old idea that has gained a renewed interest in light of the
recent increase in the availability of data and computational resources. AI holds much …
recent increase in the availability of data and computational resources. AI holds much …
[PDF][PDF] Unveiling Hidden Lesions: A Deep Dive into Deep Learning Advancements for Lung Cancer Imaging Analysis
MAR Talukder, AP Singho, MM Mia, N Jahan, MR Islam - researchgate.net
Timely detection is vital for improving patient outcomes, as lung cancer continues to be a
prominent cause of death globally. Convolutional Neural Networks (CNNs) have become a …
prominent cause of death globally. Convolutional Neural Networks (CNNs) have become a …