CA : A Cancer Journal for Clinicians

By P. Agostinis, K. Berg, K. Cengel, T. Foster, A. Girotti, S. Gollnick, S. Hahn, Michael R Hamblin, A. Juzeniene, D. Kessel and 7 more. 2011

7,164 citations recorded by the source corpus.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d58cf62b9706341b84a5351a8cac415e3a008b18

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

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Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization (2020, background): “In the USA, 40,610 women died due to breast cancer in 2017 [1].”
Learning deep similarity metric for 3D MR–TRUS image registration (2018, background): “Prostate cancer is among the main causes of cancer death in men in the United States [12].”
BACH: Grand challenge on breast cancer histology images (2018, neutral): “progression and reduce its morbidity rates (Smith et al., 2005).”
Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States (2018, background): “Currently, nearly three-fourth of adults and one-third of children and adolescents aged 2 to 19 years are overweight or obese.(80,81) Furthermore, many Americans regularly drink alcohol and do not meet other dietary recommendations.”
Automated breast cancer detection and classification using ultrasound images: A survey (2015, methodology): “…breast cancer detection and classification using ultrasound images: A survey H.D. Chenga,∗, Juan Shana, Wen Jua, Yanhui Guoa, Ling Zhangb aDepartment of Computer Science, Utah State University, Logan, UT 84322, USA bSchool of Mathematics and System Science, Shandong University, China A R T…”