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Open access May 2026

FGOOPNet: A Fuzzy Deep Learning Approach for Mammographic Breast Cancer Classification

Introduction Breast cancer continues to threaten millions of women globally, and early detection is essential for saving lives. However, inconsistencies in radiological interpretation and uncertainty in lesion assessment limit diagnostic reliability. This study proposes FGOOPNet, a fuzzy deep ensemble model designed to...

Ho-Dat Tran, Anh-Cang Phan, Thuong-Cang Phan · 0 citations
Sep 2026

Skin cancer detection: a primary care essential

Skin cancers occur in countries around the world and appear in various forms, each type presenting differently. Early diagnosis and treatment yield the best outcomes, with most types being curable if they are detected and treated promptly. This article outlines the different types of skin cancer, as well as risk factor...

M. Perry · 0 citations
Sep 2026

Cervical, Uterine, and Ovarian Cancers in Chinese Women Aged 55 Years and Older: Burden, Temporal Trends, Risk Attribution, and Future Projections From the Global Burden of Disease Study 2021

To compare the burden, temporal trends, risk factor attribution, and future projections of cervical, uterine, and ovarian cancers among Chinese women aged 55 years and older.

Xin Zhang, Tao Zhu, Zhan Gao et al. · 0 citations

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