LiT-WSAG: high-precision 3D liver tumor segmentation via 2D training and 3D reconstruction [0.03%]
基于二维训练和三维重建的高精度肝脏肿瘤分割方法(LiT-WSAG)
Chen Yi,Yu-Xin Li,Shu-Hang Cao et al.
Chen Yi et al.
Liver cancer remains a major cause of cancer mortality, and precise CT-based liver tumor segmentation is critical for early diagnosis and personalized treatment. In practice, fully 3D‑supervised training is limited by prohibitive annotatio...
Diagnostic performance of bpMRI versus mpMRI and AI-assisted bpMRI in prostate cancer detection: a multi-reader study [0.03%]
基于前列腺影像报告和数据系统诊断的bpMRI、mpMRI及AI辅助bpMRI检测前列腺癌的诊断效能分析：一项多阅片人研究
Luca Russo,Silvia Bottazzi,Luca D&#x;Erme et al.
Luca Russo et al.
Purpose: To compare biparametric MRI (bpMRI) and multiparametric MRI (mpMRI) for detecting clinically significant prostate cancer (csPCa), and to assess the impact of artificial intelligence (AI)-assisted bpMRI on diagnos...
A novel deep learning-based grading system for assessing breast arterial calcification on mammograms, as an independent risk factor for predicting adverse cardiovascular events [0.03%]
一种新颖的基于深度学习的乳腺动脉钙化分级系统，用于评估其作为独立风险因素预测不良心血管事件的价值
Mu&#x;ath Ibrahim,Patrick C Brennan,Mo&#x;ayyad E Suleiman et al.
Mu&#x;ath Ibrahim et al.
Purpose: To develop a deep learning-based framework for automated detection and grading of breast arterial calcification (BAC) on mammograms, and to evaluate its association with major adverse cardiovascular events (MACE)...
Retraction Note: Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality [0.03%]
撤稿说明：加速背痛磁共振成像的深度学习图像重建：减少采集时间，提高图像质量
Arne Estler,Till-Karsten Hauser,Merle Brunnée et al.
Arne Estler et al.
Domenico Albano,Salvatore Gitto,Carmelo Messina et al.
Domenico Albano et al.
Purpose: To evaluate whether routinely assessed MRI features can reliably estimate the timing of rotator cuff tears (RCTs) and to assess the performance of an MRI-based logistic regression model in distinguishing recent f...
Assessing the clinical reliability of deep learning for vertebral fracture detection: a two-surgeon commentary [0.03%]
评估深度学习在椎体骨折检测中的临床可靠性：两位外科医生的评论
Audai Abudayeh,Iakiv Fishchenko
Audai Abudayeh
Pancreatic cystic lesions: position paper of the SIRM-AISP multidisciplinary group [0.03%]
胰腺囊性病变：SIRM-AISP多学科工作组立场文件
Mirko D&#x;Onofrio,Beatrice Mascarin,Riccardo De Robertis et al.
Mirko D&#x;Onofrio et al.
Pancreatic cystic lesions represent an increasingly common clinical finding due to the widespread use of cross sectional imaging, encompassing a heterogeneous spectrum ranging from benign entities to premalignant and malignant neoplasms. Th...
Treatment of trigeminal neuralgia: single-fraction LINAC-based radiosurgery option, mono-institutional experience with long follow-up [0.03%]
三叉神经痛的治疗：单次分割立体放射外科手术选项及长期随访的单一机构经验
Lorena Draghini,Michelina Casale,Sara Terenzi et al.
Lorena Draghini et al.
Introduction: To evaluate the efficacy and safety of single-fraction LINAC-based radiosurgery (RS) for patients with drug-resistant trigeminal neuralgia (TN). ...
Radiomic MRI model for predicting the development of worrisome features in branch-duct intraductal papillary mucinous neoplasms (BD-IPMNs) [0.03%]
用于预测主胰管内乳头状黏液性肿瘤 Worries Features 发生的影像组学模型
Sofia Boccioli,Diletta Cozzi,Domenico Fortunato et al.
Sofia Boccioli et al.
Branch-duct intraductal papillary mucinous neoplasms (BD-IPMNs) are pancreatic cystic lesions originating from the pancreatic ducts, characterized by mucin production and progressive ductal dilation. They exhibit a wide spectrum of biologic...