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 …
Lung cancer identification: a review on detection and classification
Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Medical imaging is a rich source of invaluable information necessary for clinical judgements.
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
[HTML][HTML] Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
J Gao, Q Jiang, B Zhou, D Chen - Mathematical Biosciences and …, 2019 - aimspress.com
Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
Performance analysis of state-of-the-art cnn architectures for luna16
The convolutional neural network (CNN) has become a powerful tool in machine learning
(ML) that is used to solve complex problems such as image recognition, natural language …
(ML) that is used to solve complex problems such as image recognition, natural language …
A deep learning-based framework for detecting COVID-19 patients using chest X-rays
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused
outbreaks of new coronavirus disease (COVID-19) around the world. Rapid and accurate …
outbreaks of new coronavirus disease (COVID-19) around the world. Rapid and accurate …
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 …
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 …