LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning [0.03%]
集成学习的 LightGBM模型在胃癌术后的应用：以影像组学和集成学习相结合的方法研究术后并发症的有效预测模型
Wenli Wang,Rongrong Sheng,Shumei Liao et al.
Wenli Wang et al.
Postoperative complications of radical gastrectomy seriously affect postoperative recovery and require accurate risk prediction. Therefore, this study aimed to develop a prediction model specifically tailored to guide perioperative clinical...
İlkay Yıldız Potter,Diana Yeritsyan,Edward K Rodriguez et al.
İlkay Yıldız Potter et al.
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary function, and increased mortality risk. Plain radiography is the first-line imaging modality to diagnose suspected spine disorders. Neverthele...
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging [0.03%]
基于医学影像的高吞吐量AI推理智能流处理框架-ISLE
Pranav Kulkarni,Adway Kanhere,Eliot L Siegel et al.
Pranav Kulkarni et al.
As the adoption of artificial intelligence (AI) systems in radiology grows, the increase in demand for greater bandwidth and computational resources can lead to greater infrastructural costs for healthcare providers and AI vendors. To that ...
Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning [0.03%]
基于深度学习的颈部CT淋巴结影像自动分割算法
Md Mahfuz Al Hasan,Saba Ghazimoghadam,Padcha Tunlayadechanont et al.
Md Mahfuz Al Hasan et al.
Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI...
Antoine Emin,Sophie Daubié,Loïc Gaillandre et al.
Antoine Emin et al.
The gold standard for otosclerosis diagnosis, aside from surgery, is high-resolution temporal bone computed tomography (TBCT), but it can be compromised by the small size of the lesions. Many artificial intelligence (AI) algorithms exist, b...
Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms [0.03%]
基于BI-RADS术语的乳腺超声影像深度描述学习方法研究
Mikel Carrilero-Mardones,Manuela Parras-Jurado,Alberto Nogales et al.
Mikel Carrilero-Mardones et al.
Breast cancer is the most common cancer in women. Ultrasound is one of the most used techniques for diagnosis, but an expert in the field is necessary to interpret the test. Computer-aided diagnosis (CAD) systems aim to help physicians duri...
Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer [0.03%]
T2映射MRI在临床显著前列腺癌诊断中的应用价值评估研究
Andreas Michael Bucher,Jan Egger,Julia Dietz et al.
Andreas Michael Bucher et al.
Standardized reporting of multiparametric prostate MRI (mpMRI) is widespread and follows international standards (Pi-RADS). However, quantitative measurements from mpMRI are not widely comparable. Although T2 mapping sequences can provide r...
Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis [0.03%]
基于总变最小化和块先验正则化的X射线图像抗噪方法及其在深度学习诊断中的应用研究
Burhan Ul Haque Sheikh,Aasim Zafar
Burhan Ul Haque Sheikh
Deep learning has significantly advanced the field of radiology-based disease diagnosis, offering enhanced accuracy and efficiency in detecting various medical conditions through the analysis of complex medical images such as X-rays. This t...
Image Analysis Using the Fluorescence Imaging of Nuclear Staining (FINS) Algorithm [0.03%]
基于核染色荧光成像的图像分析算法(FINS)
Laura R Bramwell,Jack Spencer,Ryan Frankum et al.
Laura R Bramwell et al.
Finding appropriate image analysis techniques for a particular purpose can be difficult. In the context of the analysis of immunocytochemistry images, where the key information lies in the number of nuclei containing co-localised fluorescen...
Prediction of Tumor-Associated Macrophages and Immunotherapy Benefits Using Weakly Supervised Contrastive Learning in Breast Cancer Pathology Images [0.03%]
利用弱监督对比学习预测乳腺癌病理图像中的肿瘤相关巨噬细胞和免疫治疗收益
Guobang Yu,Yi Zuo,Bin Wang et al.
Guobang Yu et al.
The efficacy of immune checkpoint inhibitors is significantly influenced by the tumor immune microenvironment (TIME). RNA sequencing of tumor tissue can offer valuable insights into TIME, but its high cost and long turnaround time seriously...