Magnetic resonance imaging texture analysis classification of primary breast cancer.

Autor: Waugh, S., Purdie, C., Jordan, L., Vinnicombe, S., Lerski, R., Martin, P., Thompson, A., Waugh, S A, Purdie, C A, Jordan, L B, Lerski, R A, Thompson, A M

Publikováno v: European Radiology; Feb2016, Vol. 26 Issue 2, p322-330, 9p

Book Reviews.

Autor: Stahlberg, Freddy

Publikováno v: Acta Radiologica. Sep2000, Vol. 41 Issue 5, p514. 3p.

Interim heterogeneity changes measured using entropy texture features on T2-weighted MRI at 3.0 T are associated with pathological response to neoadjuvant chemotherapy in primary breast cancer.

Autor: Henderson S; Department of Medical Physics, Ninewells Hospital and Medical School, Dundee, UK, DD1 9SY. shelley.henderson1@nhs.net., Purdie C; Department of Pathology, Ninewells Hospital and Medical School, Dundee, UK, DD1 9SY., Michie C; Department of Oncology, Ninewells Hospital and Medical School, Dundee, UK, DD1 9SY., Evans A; Division of Imaging and Technology, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK, DD1 9SY., Lerski R; Department of Medical Physics, Ninewells Hospital and Medical School, Dundee, UK, DD1 9SY., Johnston M; Department of Clinical Radiology, Ninewells Hospital and Medical School, Dundee, UK, DD1 9SY., Vinnicombe S; Division of Imaging and Technology, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK, DD1 9SY., Thompson AM; Department of Breast Surgical Oncology, University of Texas MD Anderson Cancer Centre, Houston, TX, 77030, USA.

Publikováno v: European radiology [Eur Radiol] 2017 Nov; Vol. 27 (11), pp. 4602-4611. Date of Electronic Publication: 2017 May 18.

基于不同维度低场核磁共振技术的大豆含油率检测与判别.

Autor: 张宇¹ jxing0908@163.com, 赵亚楠¹, 赵健翔¹, 宋平¹ songping@syau.edu.cn

Publikováno v: Transactions of the Chinese Society of Agricultural Engineering. Feb2024, Vol. 40 Issue 4, p337-344. 8p.

Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features.

Autor: Park, Jiwoo¹ (AUTHOR) classic0610@yuhs.ac, Kim, Min Jung¹ (AUTHOR) mines@yuhs.ac, Yoon, Jong-Hyun¹ (AUTHOR) khhan@yuhs.ac, Han, Kyunghwa¹ (AUTHOR) oncosohn@yuhs.ac, Kim, Eun-Kyung² (AUTHOR) ekkim@yuhs.ac, Sohn, Joo Hyuk¹ (AUTHOR) sando@yuhs.ac, Lee, Young Han¹ (AUTHOR), Yoo, Yangmo³ (AUTHOR) ymyoo@sogang.ac.kr

Publikováno v: Diagnostics (2075-4418). Oct2023, Vol. 13 Issue 19, p3031. 13p.