Results 311 to 320 of about 609,595 (394)

Fundamental study of automated primary screening for cervical cancer.

, 2001
Toshihiko Izutsu, Hideo Omi, Hisao Kawahara, T. Shouji, T Kagabu, Akihiko TODATE, Seiko KADOWAKI, Yuko Kumagai   +7 more
openalex   +2 more sources

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Overview of female healthcare providers' outlooks on cervical cancer screening: a narrative review. [PDF]

Front Oncol
Gezimu W, Demeke A, Bekele F, Alemu SS, Fikadu L, Demsash AW, Dube GN, Kitil GW, Ezo E.   +8 more
europepmc   +1 more source

Screening for HIV Infection In Indigent Women With Newly Diagnosed Cervical Cancer

, 2001
Nadeem R. Abu‐Rustum, Suzette Lee, L. Stewart Massad   +2 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Distribution of Human Papillomavirus Genotypes in Real-World Cervical Self-Collected Scrapings From the Dutch Cervical Cancer Screening Program. [PDF]

J Med Virol
Castañeda KM, de Waard J, Slagter-Menkema L, Mastik M, Vuijk FA, Bekkers RLM, de Bock GH, Wisman GBA, Schuuring E.   +8 more
europepmc   +1 more source

Breast and cervical cancer screening in Hispanic women: a literature review using the health belief model

, 2002
Latoya Austin, Farah Ahmad, Mary-Jane McNally, Donna E. Stewart   +3 more
openalex   +2 more sources

Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems

Advanced Intelligent Systems, EarlyView.
A deep‐learning system (DLS) is developed for the automatic detection of spinal metastases and the evaluation of associated features using computed tomography imaging. A multireader, multicase analysis and a prospective multicenter cohort study are conducted to evaluate the diagnostic performance.
Zhiyu Wang, Guangyu Yao, Shengyuan Xu, Yifeng Gu, Yujie Chang, Jing Sun, Jingyi Guo, Shiqi Peng, Bolin Lai, Xiaoyun Zhang, Chunbin Wang, Haiying Jiang, Surong Chen, Yanfeng Wang, Ya Zhang, Yuehua Li, Hui Zhao   +16 more
wiley   +1 more source

Cervical Cancer Screening Collaborations Between National Cancer Institute Cancer Centers and Safety-Net Settings of Care, 2022. [PDF]

Public Health Rep
Chollette VY, Altman BH, McGee-Avila JK, Grenen EM, Jacobsen PB, Kobrin S.   +5 more
europepmc   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source