Results 111 to 120 of about 77,844 (314)

Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network

Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, 2019
Introduction:  It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability.
Jalal Rezaeenoor, Ghofran Saadi, Meysam Jahani   +2 more
doaj  

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Malakoplakia of the colon following renal transplantation in a 73 year old woman: report of a case presenting as intestinal perforation

Diagnostic Pathology, 2019
Background Malakoplakia is a chronic inflammatory disease characterized by tissue infiltrates of large granular macrophages containing distinctive intracytoplasmic inclusions termed Michaelis-Gutmann (MG) bodies.
Andrew Mitchell, Alexandre Dugas
doaj   +1 more source

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

Advanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu, Hongjian Yu, Jiaan Huang, Xin Hua, Hengjia Liu, Zhimian Ma, Zhen Wang, Zhijiang Du, Lining Sun   +8 more
wiley   +1 more source

An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback

Advanced Intelligent Systems, EarlyView.
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer, Francesco Iberite, Giulia Caserta, Nicolo Boccardo, Jacopo Carpaneto, Emanuele Gruppioni, Silvestro Micera, Tommaso Proietti   +7 more
wiley   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery

Advanced Intelligent Systems, EarlyView.
This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model with novel modules like task efficient shared low‐rank adapters and spatially aware multiscale attention, EndoARSS can effectively tackle challenges in ...
Guankun Wang, Rui Tang, Mengya Xu, Long Bai, Huxin Gao, Hongliang Ren   +5 more
wiley   +1 more source

Analysis of Bowel Diseases from Blood Serum by Autofluorescence and Atomic Force Microscopy Techniques

Open Chemistry, 2018
Diagnosis of bowel diseases is often difficult and time consuming since it is not always possible to obtain adequate information by the conventional diagnostic methods to set up a diagnosis and exclude nongastrointestinal causes of symptoms.
Tomečková Vladimíra, Tóth Štefan, Tóth Tímea, Komanický Vladimír, Krajčíková Kristína, Široká Monika, Glinská Gabriela, Pella Dominik, Mašlanková Jana, Tomečko Marián, Hakim Tamer, Štefanič Peter   +11 more
doaj   +1 more source

BiT‐HyMLPKANClassifier: A Hybrid Deep Learning Framework for Human Peripheral Blood Cell Classification Using Big Transfer Models and Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley   +1 more source

One - stage laparoscopic treatment of chronic inflammatory complications of diverticular colon disease

Сеченовский вестник, 2019
Introduction. Diverticulosis of the colon is one of the most common diseases of the intestine. In recent years, there has been an increasing tendency for diverticular disease (DD) to manifest itself at earlier age, as well as to the more frequent ...
E. A. Gallyamov, Y. B. Busyrev, I. V. Gorbacheva, V. A. Dugin   +3 more
doaj   +1 more source