Results 31 to 40 of about 971,492 (311)

State of the Art in Lung Nodule Localization

, 2022
Lung nodule and ground-glass opacity localization for diagnostic and therapeutic purposes is often a challenge for thoracic surgeons. While there are several adjuncts and techniques in the surgeon’s armamentarium that can be helpful, accurate ...
Christie, Neil A., Neil A. Christie, Omar Awais, Levesque, Renee L., Rajeev Dhupar, Syed F. Ashraf, Ashraf, Syed F., Awais, Omar, Evan T. Alicuben, Sarkaria, Inderpal S., Renee L. Levesque, Inderpal S. Sarkaria, Alicuben, Evan T., Dhupar, Rajeev   +13 more
core   +1 more source

Peripheral pulmonary nodules: Relationship between multi-slice spiral CT perfusion imaging and tumor angiogenesis and VEGF expression

BMC Cancer, 2008
Background The aim of this study is to investigate the relationship between16-slice spiral CT perfusion imaging and tumor angiogenesis and VEGF (vascular endothelial growth factor) expression in patients with benign and malignant pulmonary nodules, and ...
Cheng Xiao-Ling, Xiao Zhuang-Wei, Wang Zhao-Xin, Jia Bao-hui, Le Hong-Bo, Ma Shu-Hua, Mei Wei, Wu Min, Hu Zhi-Guo, Li Yu-Guang   +9 more
doaj   +1 more source

Describing Pulmonary Nodules Using 3D Clustering

Advanced Engineering Research, 2022
Introduction. Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists.
Amera Al-Funjan, Farid Meziane, Rob Aspin   +2 more
doaj   +1 more source

A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise.

PLoS ONE, 2017
The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the ...
Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang   +5 more
doaj   +1 more source

Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO

Scientific Reports, 2022
Lung CAD system can provide auxiliary third-party opinions for doctors, improve the accuracy of lung nodule recognition. The selection and fusion of nodule features and the advancement of recognition algorithms are crucial improving lung CAD systems ...
Yang Li, Hewei Zheng, Xiaoyu Huang, Jiayue Chang, Debiao Hou, Huimin Lu   +5 more
doaj   +1 more source

Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study

Frontiers in Medicine, 2022
Rationale and ObjectivesComputed tomography (CT) lung nodule assessment is routinely performed and appears very promising for lung cancer screening. However, the radiation exposure through time remains a concern.
Emeline Darçot, Emeline Darçot, Mario Jreige, David C. Rotzinger, David C. Rotzinger, Stacey Gidoin Tuyet Van, Alessio Casutt, Jean Delacoste, Jean Delacoste, Julien Simons, Olivier Long, Flore Buela, Jean-Baptiste Ledoux, Jean-Baptiste Ledoux, John O. Prior, John O. Prior, Alban Lovis, Alban Lovis, Catherine Beigelman-Aubry, Catherine Beigelman-Aubry   +19 more
doaj   +1 more source

SAM-Guided Accurate Pulmonary Nodule Image Segmentation

IEEE Access
Addressing the challenges of inaccurate lung nodule segmentation due to significant scale variations, indistinct boundary textures, and intense background noise, this study introduces a Segment Anything model (SAM)-based feature-enhanced U-Net algorithm ...
Xuewei Niu, Jianyuan Zhang, Yu Bai, Mengman Gao, Xin Yang   +4 more
doaj   +1 more source

Intra- and Inter-Reader Variations in Lung Nodule Measurements: Influences of Nodule Size, Location, and Observers

, 2022
(1) Background: Accurate measurement of lung-nodule size is necessary, but whether a three-dimensional volume measurement is better or more reliable than the one-dimensional method is still unclear.
Jianye Zhang, Haozhe Huang, Chen, Hong, Zhang, Jianye, Huang, Haozhe, Wang, Jinhong, Wang, Xuexue, Jinhong Wang, Ding, Chanjun, Xuexue Wang, Hong Chen, Mengyang Han, Chanjun Ding, Han, Mengyang   +13 more
core   +1 more source

Review of Classification Methods for Lung Nodules in CT Images [PDF]

Jisuanji kexue yu tansuo
In recent years, deep learning has been widely applied to various classification tasks due to its capability in automatically extracting features and superior classification performance.
LI Jiancheng, CAO Lu, HE Xiquan, LIAO Junhong
doaj   +1 more source

Variable radiological lung nodule evaluation leads to divergent management recommendations

, 2018
: Radiological evaluation of incidentally detected lung nodules on computed tomography (CT) influences management. We assessed international radiological variation in 1) pulmonary nodule characterisation; 2) hypothetical guideline-derived management; and
Hoesein, Firdaus A. Mohamed, Maidas, Panagiotis, Nganga, Edward, Desai, Sujal R., Eberhard, Matthias, Grgic, Aleksandar, Benes, Jiri, Jr., Dalpiaz, Giorgia, Oikonomou, Anastasia, Farchione, Alessandra, Haramati, Linda, Tomiyama, Noriyuki, Roos, Justus, Klein, Jeffrey S., Bozovic, Gracijela, De Jong, Pim A., Mariani, Francesca, Gavelli, Giampaolo, Pope, Kristen, Kanne, Jeffrey, Thi Dan Linh Nguyen-Kim, Rossi, Santiago, Pulzato, Ilaria, Romei, Chiara, Nath, Hrudaya, Nair, Arjun, Bartlett, Emily C., Munoz Nunez, Carlos Francisco, Silva, Mario, Villanueva, Alberto, Schaefer-Prokop, C. M., Iiartman, Thomas, Kapur, Sangita, Sverzellati, Nicola, Escuissato, Dante, Behr, Julien, Ip, Joana, Meirelles, Gustavo, Navani, Neal, Hering, Jan Philipp, Kul, Melahat, Rampinelli, Cristiano, Santos, Marcel Koenigkam, Pandher, Tej, Johnson, Katharine, Frauenfelder, Thomas, Snoeckx, Annemie, Romanos, Odyssefs, Chaves, Marcelo, Fujimoto, Kiminori, Poerio, Antonio, Hobbs, Susan, Kirova, Galina, Herpels, Vincent, Taydas, Onur, Ko, Jane, Sonavane, Sushilkumar, David, Sarojini, Walsh, Simon L. F., Parkar, Anagha P., Gatti, Marco, Murchison, John, Dournes, Gad, Hursoy, Nur, Senbanjo, Taiwo, Piciucchi, Sara, Bhalla, Sanjeev, Kramer, Gerdien, Occhipiniti, Mariaelena, Williams, Michelle, Haine, Louise, Iyengar, Srikanth, Hartmann, Ieneke, Karaman, Can Zafer, Polverosi, Roberta, Ahlfors, Fredrik, Bastos, Andrea, Calandriello, Lucio, Wells, Athol U., Sanchez, Marcelo, Tran, Sa, Arenas Jimenez, Juan, Karl, Robert, Lee, Youkyung, Goo, Jin Mo, Schubert, Michael, Castaner, Eva, Herraez, Inmaculada, Choi, Yo Won, Rodrigues, Jonathan, Franchi, Paola, Stefanidis, Konstantinos, Hochhegger, Bruno, Larici, Anna Rita, Nenkina, Tatyana, Mak, Sze Mun, Ozawa, Yoshiyuki, Silva, Claudio, Prosch, Helmut, Machnicki, Stephen, Ley, Sebastian, Ruhtsov, Roman, Buzan, Maria Teodora, Flors, Lucia, Niemann, Tilo, Seo, Joon-Beom, Leifels, Leonard, Sriharan, Mona, Pinheiro, Diogo, MacMahon, Heber, Ruggirello, Margherita, Hardavella, Georgia, Devaraj, Anand, Montet, Xavier   +113 more
core   +2 more sources