Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
[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, developing non-invasive systems to classify lung cancer histological …
diagnosis, developing non-invasive systems to classify lung cancer histological …
A two-stage convolutional neural networks for lung nodule detection
H Cao, H Liu, E Song, G Ma, X Xu, R Jin… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Early detection of lung cancer is an effective way to improve the survival rate of patients. It is
a critical step to have accurate detection of lung nodules in computed tomography (CT) …
a critical step to have accurate detection of lung nodules in computed tomography (CT) …
On the performance of lung nodule detection, segmentation and classification
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …
in order to improve the survival rate of such a deadly disease. For more than two decades …
[HTML][HTML] Survey on deep learning for pulmonary medical imaging
As a promising method in artificial intelligence, deep learning has been proven successful in
several domains ranging from acoustics and images to natural language processing. With …
several domains ranging from acoustics and images to natural language processing. With …
Automatic nodule detection for lung cancer in CT images: A review
G Zhang, S Jiang, Z Yang, L Gong, X Ma, Z Zhou… - Computers in biology …, 2018 - Elsevier
Automatic lung nodule detection has great significance for treating lung cancer and
increasing patient survival. This work summarizes a critical review of recent techniques for …
increasing patient survival. This work summarizes a critical review of recent techniques for …
Detection and classification of pulmonary nodules using convolutional neural networks: a survey
CT screening has been proven to be effective for diagnosing lung cancer at its early
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …
manifestation in the form of pulmonary nodules, thus decreasing the mortality. However, the …
A deep CNN based transfer learning method for false positive reduction
A low false positive (FP) rate is of great importance for the use of a Computer Aided
Detection (CAD) system to detect pulmonary nodules in thoracic Computed Tomography …
Detection (CAD) system to detect pulmonary nodules in thoracic Computed Tomography …
Stbi-yolo: A real-time object detection method for lung nodule recognition
K Liu - IEEE Access, 2022 - ieeexplore.ieee.org
Lung cancer is the most prevalent and deadly oncological disease in the world, but a timely
detection of lung nodules can greatly improve the survival rate of this disease. However, due …
detection of lung nodules can greatly improve the survival rate of this disease. However, due …
[HTML][HTML] The effects of artificial intelligence assistance on the radiologists' assessment of lung nodules on CT scans: a systematic review
LJS Ewals, K van der Wulp… - Journal of clinical …, 2023 - mdpi.com
To reduce the number of missed or misdiagnosed lung nodules on CT scans by radiologists,
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …