Cancer diagnosis using deep learning: a bibliographic review
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …
steps of cancer diagnosis followed by the typical classification methods used by doctors …
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu… - Computers in biology …, 2021 - Elsevier
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT
The accurate identification of malignant lung nodules on chest CT is critical for the early
detection of lung cancer, which also offers patients the best chance of cure. Deep learning …
detection of lung cancer, which also offers patients the best chance of cure. Deep learning …
Deep learning for image-based cancer detection and diagnosis− A survey
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
Automated lung nodule detection and classification using deep learning combined with multiple strategies
Lung cancer is one of the major causes of cancer-related deaths due to its aggressive
nature and delayed detections at advanced stages. Early detection of lung cancer is very …
nature and delayed detections at advanced stages. Early detection of lung cancer is very …
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …
problems related to medical practices. However, researchers are constantly struggling to …
A 3D probabilistic deep learning system for detection and diagnosis of lung cancer using low-dose CT scans
O Ozdemir, RL Russell, AA Berlin - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We introduce a new computer aided detection and diagnosis system for lung cancer
screening with low-dose CT scans that produces meaningful probability assessments. Our …
screening with low-dose CT scans that produces meaningful probability assessments. Our …
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis
Discriminating lung nodules as malignant or benign is still an underlying challenge. To
address this challenge, radiologists need computer aided diagnosis (CAD) systems which …
address this challenge, radiologists need computer aided diagnosis (CAD) systems which …
[HTML][HTML] Computer-assisted decision support system in pulmonary cancer detection and stage classification on CT images
Pulmonary cancer is considered as one of the major causes of death worldwide. For the
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …
Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT
Classification of benign–malignant lung nodules on chest CT is the most critical step in the
early detection of lung cancer and prolongation of patient survival. Despite their success in …
early detection of lung cancer and prolongation of patient survival. Despite their success in …