Online clustering with interpretable drift adaptation to mixed features by Flavio Corradini, Vincenzo Nucci, Marco Piangerelli, Barbara Re

Get full text

Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…This study investigates the application of machine learning techniques to diagnose skin lesions, focusing on differentiating between benign moles and malignant melanoma. …”
Get full text

A Controlled Variation Approach for Example-Based Explainable AI in Colorectal Polyp Classification by Miguel Filipe Fontes, Alexandre Henrique Neto, João Dallyson Almeida, António Trigueiros Cunha

“…Medical imaging is vital for diagnosing and treating colorectal cancer (CRC), a leading cause of mortality. …”
Get full text

An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification by Yu Zhang, Xin Li, Yaoqun Xu

“…However, the assumption of treating pixel features within superpixels as identical representations may limit the model’s expressive power. …”
Get full text

Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach by S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen

“…We present a novel bootstrapping-based hyperparameter search approach to optimize clustering efficacy, treating dimensionality reduction and clustering as a connected process chain. …”
Get full text

Exploring Dynamic Hierarchical Fusion for Multi-View Clustering by Zhenshan Chen, Xuran Tian, Lizhen Gao, Gengbin Liao, Yang Shen, Kainan Zheng, Jianglin Fang

“…However, existing approaches often oversimplify the problem by treating the contribution and granularity of information from all views as uniform, neglecting the semantic richness and diversity inherent in different views. …”
Get full text

Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

Get full text

Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review by Émile Lemoine, Joel Neves Briard, Bastien Rioux, Oumayma Gharbi, Renata Podbielski, Bénédicte Nauche, Denahin Toffa, Mark Keezer, Frédéric Lesage, Dang K. Nguyen, Elie Bou Assi

Get full text

Clinical Validation of a Machine Learning-Based Biomarker Signature to Predict Response to Cytotoxic Chemotherapy Alone or Combined with Targeted Therapy in Metastatic Colorectal C... by Duilio Pagano, Vincenza Barresi, Alessandro Tropea, Antonio Galvano, Viviana Bazan, Adele Caldarella, Cristina Sani, Gianpaolo Pompeo, Valentina Russo, Rosa Liotta, Chiara Scuderi, Simona Mercorillo, Floriana Barbera, Noemi Di Lorenzo, Agita Jukna, Valentina Carradori, Monica Rizzo, Salvatore Gruttadauria, Marco Peluso

“…In addition, we examine the applicability of learning methods to biomarker discovery and therapy prediction by considering recent narrative publications.…”
Get full text

Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Background: The modern approach to treating rectal cancer, which involves total mesorectal excision directed by imaging assessments, has significantly enhanced patient outcomes. …”
Get full text

Robotic Integration of Massage and Real-Time Tissue Assessment: A Technological Framework by Yizhong Zhang, Hui Zhang, Chen Qiu, Shaosong Xie, Min Tang, Yue-Guang Fan

Get full text

Virtual Simulation-Based Training and Person-Centered Care by Christen Page, Morgan Blaydes, Leah Simpkins, Casey Humphrey, Kellie Ellis

Get full text

Virtual Simulation-Based Training and Person-Centered Care by Christen Page, Morgan Blaydes, Leah Simpkins, Casey Humphrey, Kellie Ellis

Get full text

Virtual Simulation-Based Training and Person-Centered Care by Christen Page, Morgan Blaydes, Leah Simpkins, Casey Humphrey, Kellie Ellis

Get full text

Diagnosing Pilgrimage Common Diseases by Interactive Multimedia Courseware by Mazin Abed Mohammed, Itimad Raheem Ali, Omar Ibrahim Obaid

“…The multimedia courseware will also be used in providing some information about the symptoms of these diseases, and how each of them can be treated. The multimedia courseware contains a virtual representation of a hospital, some videos of actual cases of patients, and authentic learning activities intended to enhance health competencies during the pilgrimage. …”
Get full text

Introduction and validation of a surrogate model for warm forming and cathodic dip treatment of EN AW-7075-T6 by Jepkens Jan, Ortlieb Eduard, Ramirez Dominyka Vasquez, Wester Hendrik, Uhe Johanna, Behrens Bernd-Arno

Get full text

Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…The retrospective study included 1515 patients with UA and MI, which accounted for 55,3% of patients treated in the period 2012-2016. The median follow-up was 62 [36; 71] months. …”
Get full text

Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and exploration of its p... by Jinpu Peng, Shili Wang, Xingyu Pan, Moudong Wu, Xiong Zhan, Dan Wang, Guohua Zhu, Wei Wang, Hongyu Tang, Nini An, Jun Pei

“…Second, machine learning algorithms were utilized to identify the key genes among them, and the HPA database was used to explore the expression landscape. …”
Get full text

Prediction of methylphenidate treatment response for ADHD using conventional and radiomics T1 and DTI features: Secondary analysis of a randomized clinical trial by Mingshi Chen, Zarah van der Pal, Maarten G. Poirot, Anouk Schrantee, Marco Bottelier, Sandra J.J. Kooij, Henk A. Marquering, Liesbeth Reneman, Matthan W.A. Caan

“…Radiomics of T1-weighted images and Diffusion Tensor Imaging (DTI) combined with machine learning approaches could offer a novel method for assessing MPH treatment response. …”
Get full text

Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. …”
Get full text