Enhanced MRI-based Brain Tumour Classification with a Novel Pix2Pix Generative Adversarial Network Augmentation Framework

Information Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Neurology, Medical Imaging, Oncology,
brain tumours   conditional deep convolutional neural network   generative adversarial networks   Pix2Pix model   synthetic data  

Here’s the translation of the report, ensuring all content is preserved as requested: The research presents an enhanced MRI-based brain tumor classification method using a novel Pix2Pix Generative Adversarial Network (GAN) augmentation framework, effectively addressing challenges in data scarcity and privacy while improving diagnostic accuracy. Doe...

Translating Potential Improvement in the Precision and Accuracy of Lung Nodule Measurements on Computed Tomography Scans by Software Derived from Artificial Intelligence into Impact on Clinical Practice—A Simulation Study

Information Science, Artificial Intelligence, Medicine, Respiratory System, Medical Imaging,
Artificial Intelligence   Simulation   Measurement Accuracy   Lung Nodule   Chest CT   Precision   Nodule Growth  

Potential Improvements in Lung Nodule Measurement Precision in Computed Tomography Using Artificial Intelligence Software and Its Impact on Clinical Practice - A Simulation Study Background Accurate measurement of lung nodules is crucial for the detection and management of lung cancer. Nodule size is the primary basis for risk classification in exi...

Auto-Segmentation of Neck Nodal Metastases Using Self-Distilled Masked Image Transformer on Longitudinal MR Images

Auto-Segmentation of Neck Nodal Metastases Using Self-Distilled Masked Image Transformer on Longitudinal MR Images

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
deep learning   convolutional neural network   neck nodal metastases   auto-segmentation   self-supervised learning   vision transformers  

Potential of Self-Distilling Masked Image Transformer in Longitudinal MRI - Automatic Segmentation of Cervical Lymph Node Metastases Report Introduction In tumor radiotherapy, automatic segmentation technology promises to improve speed and reduce inter-reader variability caused by manual segmentation. In radiotherapy clinical practice, accurate and...

Benchmarking Algorithms for Gene Set Scoring of Single-Cell ATAC-Seq Data

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Genetics,
single-cell ATAC-Seq   gene set scoring   pathway analysis   single-cell RNA-Seq   benchmark  

Benchmarking Gene Set Scoring Tools for Single-Cell ATAC-seq Data Authors: Xi Wang, Qiwei Lian, Haoyu Dong, Shuo Xu, Yaru Su, Xiaohui Wu Affiliations: Pasteurien College (Soochow University Medical College), Department of Automation, Xiamen University, School of Mathematics and Computer Science, Fuzhou University Corresponding Author: xhwu@suda.edu...

Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Cell Biology, Biochemistry, Biophysics,
protein folding   protein structure prediction   deep learning   transformer   language model  

Protein Structure Prediction: Challenges, Progress, and Shifts in Research Paradigms Protein structure prediction is an important interdisciplinary research topic that has attracted researchers from various fields including biochemistry, medicine, physics, mathematics, and computer science. Researchers have adopted multiple research paradigms to so...

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age from Blind Ultrasound Sweeps

Information Science, Artificial Intelligence, Medicine, Obstetrics and Gynecology, Medical Imaging,
integrated AI tool   gestational age estimation   diagnostic accuracy   blind ultrasound sweeps   low-resource settings   pregnancy care   obstetrical sonography  

Diagnostic Accuracy of AI Tools for Estimating Gestational Age Based on Blind Ultrasound Scanning Background Accurate estimation of gestational age (GA) is the foundation of good prenatal care, typically achieved through ultrasound examinations. However, many low-resource areas lack sufficient ultrasound equipment, making accurate GA estimation cha...