Results 11 to 20 of about 900,764 (306)

Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification

Complexity, 2018
This paper focuses on the problem of lung nodule image classification, which plays a key role in lung cancer early diagnosis. In this work, we propose a novel model for lung nodule image feature representation that incorporates both local and global ...
Keming Mao, Renjie Tang, Xinqi Wang, Weiyi Zhang, Haoxiang Wu   +4 more
doaj   +2 more sources

A semisupervised knowledge distillation model for lung nodule segmentation

Scientific Reports
Early screening of lung nodules is mainly done manually by reading the patient’s lung CT. This approach is time-consuming laborious and prone to leakage and misdiagnosis. Current methods for lung nodule detection face limitations such as the high cost of
Wenjuan Liu, Limin Zhang, Xiangrui Li, Haoran Liu, Min Feng, Yanxia Li   +5 more
doaj   +2 more sources

Development of CAD System for Automatic Lung Nodule Detection: A Review [PDF]

BIO Web of Conferences, 2021
Lung cancer is a type of cancer that spreads rapidly and is the leading cause of mortality globally. The Computer-Aided Detection (CAD) system for automatic lung cancer detection has a significant influence on human survival.
Sari Sekar, Soesanti Indah, Setiawan Noor Akhmad   +2 more
doaj   +2 more sources

Collision metastasis from prostate adenocarcinoma and pancreatic ductal adenocarcinoma to a lung nodule [PDF]

, 2023
Introduction Prostate cancer and pancreatic cancer are often complex pathologies that affect millions of patients worldwide. However, the incidence of a distant collision metastasis of both malignancies remains a rare and often poorly documented ...
Madaan, S., Saw, S., Mohamed, A., Clark, A., Yao, M.   +4 more
core   +1 more source

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models [PDF]

, 2023
Screening programs for early lung cancer diagnosis are uncommon, primarily due to the challenge of reaching at-risk patients located in rural areas far from medical facilities.
Paul, Manoranjan, Michael J. Horry, Chakraborty, S, Subrata Chakraborty, Zhu, J, Hui Wen Loh, Zhu, Jing, U. Rajendra Acharya, Horry, Michael J., Prabal Datta Barua, Acharya, U Rajendra, Manoranjan Paul, Barua, Prabal Datta, Loh, Hui Wen, Barua, PD, Biswajeet Pradhan, Jing Zhu, Paul, M, Horry, MJ, Pradhan, Biswajeet, Pradhan, B, Acharya, UR, Chakraborty, Subrata, Horry, Michael J, Loh, HW, Acharya, U. Rajendra   +25 more
core   +1 more source

Rheumatoid lung nodule [PDF]

BMJ Case Reports, 2015
A 61-year-old woman was under treatment with a combination of methotrexate and leflunomide for seropositive rheumatoid arthritis (RA) for the past 6 years. She presented to us 6 months earlier with grade 1 dyspnoea of 3-month duration. She was a non-smoker. On evaluation, her vitals, and respiratory and cardiovascular system were normal.
Parikshit, Sagdeo, Yathish, Gattimallanahali, Girish, Kakade, Balakrishnan, Canchi   +3 more
openaire   +2 more sources

PCP lung nodules [PDF]

BMJ Case Reports, 2019
A 54-year-old Caucasian man presented to the emergency department complaining of worsening productive cough, weight loss and left-sided chest pain lasting 1 month. He did not have a fever. He had a medical history of HIV diagnosed 22 years ago and had not been receiving any antiretroviral ...
Emad, Abu Sitta, Xiaojin, Sha, Komal, Masood, Claudiu, Georgescu   +3 more
openaire   +2 more sources

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks [PDF]

, 2023
Lung cancer is the leading cause of cancer death, and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer diagnosis.
Acharya, U. Rajendra, Paul, Manoranjan, Barua, Prabal Datta, Barua, PD, Zhou, Jianlong, Mir, Hasan Saeed, Paul, M, Chakraborty, S, Zhu, J, Horry, MJ, Zhu, Jing, Pradhan, Biswajeet, Pradhan, B, Mir, HS, Acharya, UR, Horry, Michael J., Chen, Fang, Chakraborty, Subrata, Zhou, J, Horry, Michael J, Acharya, U Rajendra, Chen, F   +21 more
core   +1 more source

lung-nodule-volume-growth-analysis.pdf

, 2022
The objective of this work was to develop an automated computerized algorithm to detect the cancerous nature of lung. An Auto Cluster K-means segmentation (ACKMS) was used to segment the lung nodules from CT scans. ACKMS algorithm was developed such that
ganesh E N (12315038)
core   +1 more source

Automated identification of lung nodules [PDF]

2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008
A system that can automatically detect nodules within lung images may assist expert radiologists in interpreting the abnormal patterns as nodules in 2D CT lung images. A system is presented that can automatically identify nodules of various sizes within lung images. The pattern classification method is employed to develop the proposed system.
Shu Ling Alycia Lee, Abbas Z. Kouzani, Eric J. Hu   +2 more
openaire   +1 more source