History of mammography: analysis of breast imaging diagnostic achievements over the last century

L Nicosia, G Gnocchi, I Gorini, M Venturini, F Fontana… - Healthcare, 2023 - mdpi.com
Breast cancer is the most common forms of cancer and a leading cause of mortality in
women. Early and correct diagnosis is, therefore, essential to save lives. The development of …

Applications and techniques of machine learning in cancer classification: A systematic review

A Yaqoob, R Musheer Aziz, NK verma - Human-Centric Intelligent Systems, 2023 - Springer
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers

E Hodneland, E Andersen, KS Wagner-Larsen… - Scientific Reports, 2024 - nature.com
Widespread clinical use of MRI radiomic tumor profiling for prognostication and treatment
planning in cancers faces major obstacles due to limitations in standardization of radiomic …

Discovery of a proliferation essential gene signature and actin‐like 6A as potential biomarkers for predicting prognosis and neoadjuvant chemotherapy response in …

X Li, S Luo, W Fu, M Huang, X Huang, S Kang… - Cancer, 2024 - Wiley Online Library
Background Patients with triple‐positive breast cancer (TPBC) have a higher risk of
recurrence and lower survival rates than patients with other luminal breast cancers …

人工智能辅助的磁共振成像在评估乳腺癌新辅助化疗中的应用综述.

刘凯文, 金莹莹, 王守巨 - … & Processing/Shu Ju Cai Ji Yu …, 2024 - search.ebscohost.com
新辅助化疗已成为乳腺癌标准治疗策略, 而磁共振成像是评估乳腺癌对新辅助化疗反应的首选
影像学方法. 虽然磁共振成像能提供关于肿瘤位置, 大小及微环境等详细信息 …

[PDF][PDF] UNIVERSITY OF PENNSYLVANIA-PERELMAN SCHOOL OF MEDICINE

AM DeMichele - 2024 - society.asco.org
UNIVERSITY OF PENNSYLVANIA - PERELMAN SCHOOL OF MEDICINE Curriculum Vitae Date:
07/18/2024 Angela M. DeMichele, MD, MSCE, FASC Page 1 UNIVERSITY OF PENNSYLVANIA …