Resultados de búsqueda - Classification algorithms

GFNB: Gini index–based Fuzzy Naive Bayes and blast cell segmentation for leukemia detection using multi-cell blood smear images. por Das, Biplab Kanti, Dutta, Himadri Sekhar

Ver este registro en EBSCOhost

Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach. por Mahmood, Nasir, Shahid, Saman, Bakhshi, Taimur, Riaz, Sehar, Ghufran, Hafiz, Yaqoob, Muhammad

Ver este registro en EBSCOhost

Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer pat... por Xie, Chenyi, Du, Richard, Ho, Joshua WK, Pang, Herbert H, Chiu, Keith WH, Lee, Elaine YP, Vardhanabhuti, Varut

Ver este registro en EBSCOhost

Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion. por Yardımcı, Aytül Hande, Koçak, Burak, Bektaş, Ceyda Turan, Sel, İpek, Yarıkkaya, Enver, Dursun, Nevra, Bektaş, Hasan, Afşar, Çiğdem Usul, Gürsu, Rıza Umar, Kılıçkesmez, Özgür, Turan Bektaş, Ceyda, Usul Afşar, Çiğdem

Ver este registro en EBSCOhost

Texture analysis in susceptibility-weighted imaging may be useful to differentiate acute from chronic multiple sclerosis lesions. por Caruana, Giovanni, Pessini, Lucas M., Cannella, Roberto, Salvaggio, Giuseppe, de Barros, Andréa, Salerno, Annalaura, Auger, Cristina, Rovira, Àlex

Ver este registro en EBSCOhost

Deep learning in interstitial lung disease—how long until daily practice. por Trusculescu, Ana Adriana, Manolescu, Diana, Tudorache, Emanuela, Oancea, Cristian

Ver este registro en EBSCOhost

Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma. por Fujima, Noriyuki, Andreu-Arasa, V. Carlota, Meibom, Sara K., Mercier, Gustavo A., Salama, Andrew R., Truong, Minh Tam, Sakai, Osamu

Ver este registro en EBSCOhost

A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance. por Joo, Bio, Ahn, Sung Soo, Yoon, Pyeong Ho, Bae, Sohi, Sohn, Beomseok, Lee, Yong Eun, Bae, Jun Ho, Park, Moo Sung, Choi, Hyun Seok, Lee, Seung-Koo

Ver este registro en EBSCOhost

Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation. por Kan, Yansheng, Zhang, Qing, Hao, Jiange, Wang, Wei, Zhuang, Junlong, Gao, Jie, Huang, Haifeng, Liang, Jing, Marra, Giancarlo, Calleris, Giorgio, Oderda, Marco, Zhao, Xiaozhi, Gontero, Paolo, Guo, Hongqian

Ver este registro en EBSCOhost

Any unique image biomarkers associated with COVID-19? por Pu, Jiantao, Leader, Joseph, Bandos, Andriy, Shi, Junli, Du, Pang, Yu, Juezhao, Yang, Bohan, Ke, Shi, Guo, Youmin, Field, Jessica B., Fuhrman, Carl, Wilson, David, Sciurba, Frank, Jin, Chenwang

Ver este registro en EBSCOhost

Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases. por Tkatek, Said, Belmzoukia, Amine, Nafai, Said, Abouchabaka, Jaafar, Ibnou-ratib, Youssef

Ver este registro en EBSCOhost

Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques. por Cantin-Garside, Kristine D., Kong, Zhenyu, White, Susan W., Antezana, Ligia, Kim, Sunwook, Nussbaum, Maury A.

Ver este registro en EBSCOhost

An Amalgamated Approach to Bilevel Feature Selection Techniques Utilizing Soft Computing Methods for Classifying Colon Cancer. por Prabhakar, Sunil Kumar, Rajaguru, Harikumar, Kim, Sun-Hee

Ver este registro en EBSCOhost

Application of BERT to Enable Gene Classification Based on Clinical Evidence. por Su, Yuhan, Xiang, Hongxin, Xie, Haotian, Yu, Yong, Dong, Shiyan, Yang, Zhaogang, Zhao, Na

Ver este registro en EBSCOhost

Does exposure to controlling parental feeding practices during adolescence predict disordered eating behaviors 8 years later in emerging adulthood? por Hazzard, Vivienne M., Loth, Katie A., Berge, Jerica M., Larson, Nicole I., Fulkerson, Jayne A., Neumark‐Sztainer, Dianne

Ver este registro en EBSCOhost

Differential diagnosis of asthma and restrictive respiratory diseases by combining forced oscillation measurements, machine learning and neuro-fuzzy classifiers. por Amaral, Jorge L. M., Sancho, Alexandre G., Faria, Alvaro C. D., Lopes, Agnaldo J., Melo, Pedro L.

Ver este registro en EBSCOhost

A weighted ensemble-based active learning model to label microarray data. por De, Rajonya, Chakraborty, Anuran, Chatterjee, Agneet, Sarkar, Ram

Ver este registro en EBSCOhost

Automated glaucoma screening method based on image segmentation and feature extraction. por Guo, Fan, Li, Weiqing, Tang, Jin, Zou, Beiji, Fan, Zhun

Ver este registro en EBSCOhost

A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea. por Hajipour, Farahnaz, Jozani, Mohammad Jafari, Moussavi, Zahra

Ver este registro en EBSCOhost

A machine learning approach for mortality prediction only using non-invasive parameters. por Zhang, Guang, Xu, JiaMeng, Yu, Ming, Yuan, Jing, Chen, Feng

Ver este registro en EBSCOhost