Results 21 to 30 of about 466,306 (265)

Effect of Different Parameter Values for Pre-processing of Using Mammography Images

Journal of Advanced Research in Natural and Applied Sciences, 2023
Breast cancer is one of the most common types of cancer in women. To make a fast diagnosis, mammography images should have high contrast. Computer-assisted diagnosis (CAD) models are computer systems that help diagnose lesioned areas on medical images ...
Hanife Avcı, Jale Karakaya
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Wide area digital dermoscopy applied to basal cell carcinoma, [PDF]

Anais Brasileiros de Dermatologia, 2020
In situations in when a dermoscopic record of a large lesion is desirable, the resulting images are usually restricted to a small field of view due to the limited diameter of dermatoscope lenses.
Gerson Dellatorre, Guilherme Augusto Gadens   +1 more
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Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey

IEEE Access, 2022
The recent advancements in the surging field of Deep Learning (DL) have revolutionized every sphere of life, and the healthcare domain is no exception. The enormous success of DL models, particularly with image data, has led to the development of image ...
Sardar Mehboob Hussain, Antonio Brunetti, G. Lucarelli, R. Memeo, Vitoantonio Bevilacqua, D. Buongiorno   +5 more
semanticscholar   +1 more source

Study of the Distortion of the Indirect Angular Measurements of the Calcaneus Due to Perspective: In Vitro Testing

Sensors, 2021
The study of the foot is relevant in kinematic analyses of gait. Images captured through a lens can be subjected to various aberrations or distortions that affect the measurements.
Isidoro Espinosa-Moyano, María Reina-Bueno, Inmaculada C. Palomo-Toucedo, José Rafael González-López, José Manuel Castillo-López, Gabriel Domínguez-Maldonado   +5 more
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Glaucoma Detection Using Image Processing and Supervised Learning for Classification

Journal of Healthcare Engineering, 2022
A difficult challenge in the realm of biomedical engineering is the detection of physiological changes occurring inside the human body, which is a difficult undertaking.
Shubham Joshi, B. Partibane, W. Hatamleh, Hussam Tarazi, Chandra Shekhar Yadav, Daniel Krah   +5 more
semanticscholar   +1 more source

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]

, 2015
Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.
Farag, Amal, Liu, Jiamin, Lu, Le, Roth, Holger R., Shin, Hoo-Chang, Summers, Ronald M., Turkbey, Evrim   +6 more
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Three-dimensional analysis of facial morphology in Brazilian population with Caucasian, Asian, and Black ethnicity

Journal of Oral Research and Review, 2017
Aim: To compare facial features related to the nose, lips and face between the Caucasian, Asian, and Black ethnicity in the Brazilian population by means of linear measurements and proportion indices obtained from the analysis of three-dimensional (3D ...
Ana Maria Bettoni Rodrigues da Silva, Laís Valencise Magri, Lilian Mendes Andrade, Marco Antônio Moreira Rodrigues da Silva   +3 more
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Current Status of Artificial Intelligence-Based Computer-Assisted Diagnosis Systems for Gastric Cancer in Endoscopy

Diagnostics, 2022
Artificial intelligence (AI) is gradually being utilized in various fields as its performance has been improving with the development of deep learning methods, availability of big data, and the progression of computer processing units.
K. Ochiai, Tsuyoshi Ozawa, J. Shibata, S. Ishihara, T. Tada   +4 more
semanticscholar   +1 more source

Groupwise Multimodal Image Registration using Joint Total Variation [PDF]

, 2020
In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies.
A Collignon, A Myronenko, A Roche, AV Cideciyan, C Studholme, C Wachinger, C Wu, DL Hill, DN Greve, E Haber, F Maes, FP Oliveira, G Sapiro, J Ashburner, J Huang, J Orchard, JBA Maintz, JP Lewis, JP Pluim, JV Hajnal, M Brudfors, M Polfliet, P Blomgren, P Gerlot-Chiron, P Snape, P Viola, RP Woods, RP Woods, WH Press, WM Wells III, X Bresson, ZS Saad, Ž Spiclin   +32 more
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Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Nature Communications, 2019
In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider   +37 more
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