Results 11 to 20 of about 971,492 (311)

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

Sister Mary Joseph's nodule in a patient with metastatic small cell lung cancer [PDF]

Journal of Community Hospital Internal Medicine Perspectives, 2015
We present a case of 56-year-old male with small cell carcinoma of the lung with metastatic tumor nodule of the umbilicus. To our knowledge, this is only the second reported case of small cell lung cancer associated with Sister Mary Joseph's nodule.
Sushil Ghimire, Smith Giri, Ranjan Pathak, Mike G Martin   +3 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., Sonia Saw, Amanda Clark, Yao, Mark, Mohamed, Ahmed, Mark Yao, Madaan, Sanjeev, Ahmed Mohamed, Saw, Sonia, Sanjeev Madaan, Clark, Amanda   +14 more
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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, 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, Loh, HW, Acharya, U. Rajendra   +23 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

Cross Spatio-Temporal Pathology-based Lung Nodule Dataset

, 2023
We introduce a novel cross spatio-temporal lung nodule dataset based on pathological information, which effectively integrates rich multimodal information within the spatio-temporal ...
Haoran Zhang, Muwei Jian
core   +2 more sources

Aspergillus nodule, a rare variant of chronic pulmonary aspergillosis mimicking as lung cancer

Muller Journal of Medical Sciences and Research, 2020
Chronic pulmonary aspergillosis includes several disease manifestations, including aspergilloma, Aspergillus nodules, chronic cavitary pulmonary aspergillosis, and chronic fibrosing pulmonary aspergillosis.
Manoj Kumar Pandey, Hemant Kumar, Poornima Mishra, Shyam Murari Kalra, Preeti Gupta   +4 more
doaj   +1 more source

Predicting lung nodules malignancy

Pulmonology, 2022
It is critical to developing an accurate method for differentiating between malignant and benign solitary pulmonary nodules. This study aimed was to establish a predicting model of lung nodules malignancy in a real-world setting.The authors retrospectively analysed the clinical and computed tomography (CT) data of 121 patients with lung nodules ...
M. Jacob, J. Romano, D. Araújo, J.M. Pereira, I. Ramos, V. Hespanhol   +5 more
openaire   +3 more sources

Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening:The NELSON study [PDF]

, 2017
Objectives: To explore the relationship between nodule count and lung cancer probability in baseline low-dose CT lung cancer screening. Materials and Methods: Included were participants from the NELSON trial with at least one baseline nodule (3392 ...
de Bock, Geertruida H.; id_orcid, Koning, Harry J. de, Koning, H.J.D. (Harry J de), Harry J M Groen, Bock, Geertruida H. de, Aalst, Carlijn M. van der, van der Aalst, Carlijn, Oudkerk, M. (Matthijs), de Bock, GH, Rozemarijn Vliegenthart, Yousaf-Khan, A.U. (Uraujh), Robin B Peters, Yousaf-Khan, U, Walter, J.E. (Joan E), Nackaerts, Kristiaan, Aalst, C.M.V.D. (Carlijn M van der), van Ooijen, Peter M. A., Walter, JE, Groen, H.J.M. (Henk), Nackaerts, K. (Kristiaan), Oudkerk, Matthijs, Peters, R.B. (Robin B), van der Aalst, Carlijn M., Vliegenthart, Rozemarijn, Bock, G.H.D. (Geertruida H de), Peters, Robin B., Peter MA van Ooijen, Yousaf-Khan, Uraujh, Vliegenthart, R, Heuvelmans, M.A. (Marjolein), van Ooijen, Peter M. A.; id_orcid, Matthijs Oudkerk, Vliegenthart, R. (Rozemarijn), Groen, Harry J.M., van Ooijen, PMA, Ooijen, Peter Ma van, Heuvelmans, MA, de Koning, Harry; id_orcid, de Bock, Geertruida H., Joan E Walter, Groen, HJM, Kristiaan Nackaerts, Peters, R B, Marjolein A Heuvelmans, Harry J de Koning, Heuvelmans, Marjolein A., Geertruida H de Bock, Uraujh Yousaf-Khan, Walter, Joan E., Oudkerk, Matthijs; id_orcid, Carlijn M van der Aalst, Groen, Harry J. M.; id_orcid, de Koning, Harry J., Nackaerts, K, Groen, Harry J. M., Ooijen, P.M.V. (Peter MA van), Oudkerk, M   +56 more
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Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning

Journal of King Saud University: Computer and Information Sciences, 2022
Lung malignancy is one of the most common causes of death in the world caused by malignant lung nodules which commonly diagnosed radiologically by radiologists.
Ivan William Harsono, Suryadiputra Liawatimena, Tjeng Wawan Cenggoro   +2 more
doaj   +1 more source