Lung nodule detection from feature engineering to deep learning in thoracic CT images: a comprehensive review
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
Lung Segmentation Based on Statistical Analysis Using Features of Connected Components
VJ Rani, KK Thanammal - Wireless Personal Communications, 2023 - Springer
Lung diagnosis is one of the vital needs of the medical world. Lung cancer is the deadliest
disease in the world which can be diagnosed using Computed Tomography (CT) images …
disease in the world which can be diagnosed using Computed Tomography (CT) images …
Border to border distance based lung parenchyma segmentation including juxta-pleural nodules
Lung Segmentation is one of the pre-processing steps for lung cancer diagnosis.
Segmentation of lung contour is challenging when the nodules are attached to the …
Segmentation of lung contour is challenging when the nodules are attached to the …
Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans
Purpose The proposed work aims to develop an algorithm to precisely segment the lung
parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a …
parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a …
[PDF][PDF] Computer-aided diagnostic system kinds and pulmonary nodule detection efficacy
OR Kadhim, HJ Motlak, KK Abdalla - International Journal of …, 2022 - academia.edu
This paper summarizes the literature on computer-aided detection (CAD) systems used to
identify and diagnose lung nodules in images obtained with computed tomography (CT) …
identify and diagnose lung nodules in images obtained with computed tomography (CT) …
[HTML][HTML] Autocorrection of lung boundary on 3D CT lung cancer images
Lung cancer in men has the highest mortality rate among all types of cancer. Juxta-pleural
and juxta-vascular are the most common nodules located on the lung surface. A computer …
and juxta-vascular are the most common nodules located on the lung surface. A computer …
A Novel Nodule Tracking System and Convolutional Neural Networks for Medical Internet of Things
DE Bejaoui, H Mahersia… - 2022 4th IEEE Middle East …, 2022 - ieeexplore.ieee.org
Medical and health care is a significant application field for Internet of things technologies.
The medical Internet of Things (IoT) is employed in this research to collect data from clinical …
The medical Internet of Things (IoT) is employed in this research to collect data from clinical …
A deep learn-based algorithm for the identification of suspicious local blocks in Lung CT slices: Deep learning method to identify suspicious lung edge
S Qiao, B Feng, X Zhu, C Feng - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Accurately extracting lung regions from CT slices is an essential task for CT-based lung
cancer diagnosis. To deal with this problem, we proposed a deep learning-based neural …
cancer diagnosis. To deal with this problem, we proposed a deep learning-based neural …
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review
H Amitava, D Debangshu… - Journal of Digital …, 2020 - search.proquest.com
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
[PDF][PDF] Automated identification of 3D lung CT image orientation
Computerized tomography (CT) is one of the major high-resolution imaging modalities. It is
especially useful in the early detection of lung abnormalities. However, CT images are …
especially useful in the early detection of lung abnormalities. However, CT images are …