Results 191 to 200 of about 183,225 (358)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis [PDF]

open access: yesarXiv
Multi-modal Learning has attracted widespread attention in medical image analysis. Using multi-modal data, whole slide images (WSIs) and clinical information, can improve the performance of deep learning models in the diagnosis of axillary lymph node metastasis.
arxiv  

Effects of COVID-19 vaccination on cervical lymph nodes in patients with thyroid cancer. [PDF]

open access: yesTransl Cancer Res, 2023
Yang P   +13 more
europepmc   +1 more source

Multifactorial construction of low‐grade and high‐grade endometrial cancer recurrence prediction models

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To analyze independent risk factors for endometrial cancer (EC), a common female cancer globally, and construct individualized prediction models for EC recurrence. Methods The EC patients from the medical record system were divided into low‐grade (n = 392) and high‐grade (n = 183) groups.
Yachai Li   +5 more
wiley   +1 more source

The Diagnostic Performance of Multiparametric Ultrasound in the Qualitative Assessment of Inconclusive Cervical Lymph Nodes. [PDF]

open access: yesCancers (Basel), 2023
Wakonig KM   +6 more
europepmc   +1 more source

The association between additional radiotherapy after systemic chemotherapy and the prognosis of stage FIGO 2018 IVB cervical cancer

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Systemic platinum‐based chemotherapy is the first‐line treatment of choice for metastatic cervical cancer. While subsequent radiotherapy after primary chemotherapy is a potential option, its benefit remains unclear. This multicenter retrospective study aimed to evaluate whether post‐chemotherapy radiotherapy improves the prognosis of
Ai Miyoshi   +13 more
wiley   +1 more source

Artificial intelligence in the diagnosis and management of gynecologic cancer

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low‐resource settings.
Chaiyawut Paiboonborirak   +2 more
wiley   +1 more source

Predictors for sentinel lymph node mapping failure using indocyanine green injection in apparent early stages of endometrial cancer: A single‐center prospective study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The current study aimed to analyze predictive factors of sentinel lymph node mapping failure in apparently early stages of endometrial cancer using intracervical indocyanine green injection. Methods A single‐center prospective study was conducted between June 2019 and August 2023 at the Department of Gynecology and Obstetrics ...
Petra Bretová   +8 more
wiley   +1 more source

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