Data pyramid structure for optimizing EUS-based GISTs diagnosis in multi-center analysis with missing label
This study introduces the Data Pyramid Structure (DPS) to address data sparsity and
missing labels in medical image analysis. The DPS optimizes multi-task learning and …
missing labels in medical image analysis. The DPS optimizes multi-task learning and …
[HTML][HTML] 人工智能辅助消化内镜诊断的进展
赵思琦， 刘文天 - 世界华人消化杂志, 2024 - wjgnet.com
消化系统疾病, 特别是消化道肿瘤的发病率居高不下. 内镜检查是诊断和治疗消化道疾病的重要
方法, 尤其是在早期癌变的筛查中具有重要的作用. 然而, 消化道早期癌变的内镜下检出率仍较低 …
方法, 尤其是在早期癌变的筛查中具有重要的作用. 然而, 消化道早期癌变的内镜下检出率仍较低 …
UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets
Purpose: Automated ultrasound image analysis is challenging due to anatomical complexity
and limited annotated data. To tackle this, we take a data-centric approach, assembling the …
and limited annotated data. To tackle this, we take a data-centric approach, assembling the …
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
Med-VQA, intersecting medicine and VQA, is a challenging field offering benefits like patient
engagement and clinical collaboration. However, current joint embedding methods lack …
engagement and clinical collaboration. However, current joint embedding methods lack …