Ausgabe 6/2022
Inhalt (16 Artikel)
Hybrid deep boosting ensembles for histopathological breast cancer classification
Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri
Breast cancer classification along with feature prioritization using machine learning algorithms
Abdullah-Al Nahid, Md. Johir Raihan, Abdullah Al-Mamun Bulbul
Revisiting agency and medical health technology: actor network theory and breast cancer survivors’ perspectives on an adherence tool
Mark L. Cabling, Fabrizio Drago, Jeanine Turner, Alejandra Hurtado-de-Mendoza, Vanessa B. Sheppard
Regulatory Considerations on the use of Machine Learning based tools in Clinical Trials
Maurizio Massella, Diego Alejandro Dri, Donatella Gramaglia
A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography images
Mahsa Ensafi, Mohammad Reza Keyvanpour, Seyed Vahab Shojaedini
Integration of artificial intelligence into nursing practice
Mohamed M Abuzaid, Wiam Elshami, Sonyia Mc Fadden
New patch-based strategy for COVID-19 automatic identification using chest x-ray images
Jorge A Portal-Diaz, Orlando Lovelle-Enríquez, Marlen Perez-Diaz, José D Lopez-Cabrera, Osmany Reyes-Cardoso, Ruben Orozco-Morales
Breast cancer image analysis using deep learning techniques – a survey
Soumya Sara Koshy, L. Jani Anbarasi, Malathy Jawahar, Vinayakumar Ravi
Brain tumor detection using deep ensemble model with wavelet features
Debendra Kumar Sahoo, Abhishek Das, Satyasis Mishra, Mihir Narayan Mohanty
A non-linear time series based artificial intelligence model to predict outcome in cardiac surgery
Sushant Konar, Nitin Auluck, Rajarajan Ganesan, Atul Kumar Goyal, Tarunpreet Kaur, Mansi Sahi, Tanvir Samra, Shyam Kumar Singh Thingnam, Goverdhan Dutt Puri
Combining deep-wavelet neural networks and support-vector machines to classify breast lesions in thermography images
Maíra Araújo de Santana, Valter Augusto de Freitas Barbosa, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos
Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Vinit Kumar Gunjan, Ninni Singh, Fahimudin Shaik, Sudipta Roy
Data mining in predicting liver patients using classification model
Shubashini Rathina Velu, Vinayakumar Ravi, Kayalvily Tabianan
Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 cases
Shubashini Rathina Velu, Vinayakumar Ravi, Kayalvily Tabianan
CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana
L. J. Muhammad, Ahmed Abba Haruna, Usman Sani Sharif, Mohammed Bappah Mohammed
Machine learning for optimizing daily COVID-19 vaccine dissemination to combat the pandemic
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra