Post-pandemic healthcare for COVID-19 vaccine: Tissue-aware diagnosis of cervical lymphadenopathy via multi-modal ultrasound semantic segmentation-Reference-Cited by-同舟云学术

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Post-pandemic healthcare for COVID-19 vaccine: Tissue-aware diagnosis of cervical lymphadenopathy via multi-modal ultrasound semantic segmentation

Published:2023-01 Issue: Volume:133 Page:109947
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gao Yue^ORCID,Fu Xiangling,Chen Yuepeng,Guo Chenyi,Wu Ji

Publisher

Elsevier BV

Subject

Software

Reference40 articles.

1. World Health Organization coronavirus (COVID-19) dashboard,2022

2. Healthcare innovations to address the challenges of the COVID-19 pandemic;Akay;IEEE J. Biomed. Health Inf.,2022

3. Massive cervical lymphadenopathy post-COVID-19 vaccination;Ganga;Ear Nose Throat J.,2021

4. Axillary adenopathy after COVID-19 vaccine: No reason to delay screening mammogram;Wolfson;Radiology,2022

5. Atypical sites of lymphadenopathy after anti-COVID-19 vaccine: Ultrasound features;Cocco;Medicina,2022

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1. A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology;Applied Soft Computing;2024-11

2. Management of Persistent Low-Suspicion Cervical Lymphadenopathy in Pediatric Patients;Journal of Surgical Research;2024-06

3. Multi-modality approaches for medical support systems: A systematic review of the last decade;Information Fusion;2024-03

4. Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs;Lecture Notes in Computer Science;2024

5. Application and prospects of AI-based radiomics in ultrasound diagnosis;Visual Computing for Industry, Biomedicine, and Art;2023-10-13

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