Biocybernetics and Biomedical Engineering - Tom Vol. 42, no. 3 (2022) - BazTech - Yadda

Tom - szczegóły

Tytuł artykułu

Vol. 42, no. 3

Czasopismo

Biocybernetics and Biomedical Engineering

Wydawca

Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Elsevier

Rocznik

2022

Identyfikatory

Zawartość wolumenu

Vol. 42, no. 3
- artykuł: A novel end-to-end deep learning approach for cancer detection based on microscopic medical images (Hammad Mohamed, Bakrey Mohamed, Bakhiet Ali, Tadeusiewicz Ryszard, Abd El-Latif Ahmed A., Pławiak Paweł), s. 737--748
- artykuł: The internet of medical things and artificial intelligence: trends, challenges, and opportunities (Kakhi Kourosh, Alizadehsani Roohallah, Kabir H. M. Dipu, Khosravi Abbas, Nahavandi Saeid, Acharya U. Rajendra), s. 749--771
- artykuł: A dark and bright channel prior guided deep network for retinal image quality assessment (Xu Ziwen, Zou Beiji, Liu Qing), s. 772--783
- artykuł: Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals (Gupta Kapil, Bajaj Varun, Ansari Irshad Ahmad, Acharya U. Rajendra), s. 784--796
- artykuł: Multi-class nucleus detection and classification using deep convolutional neural network with enhanced high dimensional dissimilarity translation model on cervical cells (Karri Meghana, Annavarapu Chandra Sekhara Rao, Mallik Saurav, Zhao Zhongming, Acharya U. Rajendra), s. 797--814
- artykuł: Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts (Dogan Sengul, Barua Prabal Datta, Baygin Mehmet, Chakraborty Subrata, Ciaccio Edward J., Tuncer Turker, Abd Kadir Khairul Azmi, Md Shah Mohammad Nazri, Azman Raja Rizal, Lee Chin Chew, Ng Kwan Hoong, Acharya U. Rajendra), s. 815--828
- artykuł: Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform (Patel Rajneesh Kumar, Kashyap Manish), s. 829--841
- artykuł: TL-med: A Two-stage transfer learning recognition model for medical images of COVID-19 (Meng Jiana, Tan Zhiyong, Yu Yuhai, Wang Pengjie, Liu Shuang), s. 842--855
- artykuł: Diagnosis of Parkinson’s disease based on SHAP value feature selection (Liu Yuchun, Liu Zhihui, Luo Xue, Zhao Hongjingtian), s. 856--869
- artykuł: Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait (Sikidar Arnab, Vidyasagar Koyyana Eshwar Chandra, Gupta Manish, Garg Bhavuk, Kalyanasundaram Dinesh), s. 870--887
- artykuł: Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review (Sudarshan Vidya K., Raghavendra U., Gudigar Anjan, Ciaccio Edward J., Vijayananthan Anushya, Sahathevan Ramesh, Acharya U. Rajendra), s. 888--901
- artykuł: Enhanced decision tree induction using evolutionary techniques for Parkinson’s disease classification (Ghane Mostafa, Ang Mei Choo, Nilashi Mehrbakhsh, Sorooshian Shahryar), s. 902--920
- artykuł: Applications of machine-learning algorithms for prediction of benign and malignant breast lesions using ultrasound radiomics signatures: A multi-center study (Homayoun Hassan, Chan Wai Yee, Kuzan Taha Yusuf, Leong Wai Ling, Altintoprak Kübra Murzoglu, Mohammadi Afshin, Vijayananthan Anushya, Rahmat Kartini, Leong Sook Sam, Mirza-Aghazadeh-Attari Mohammad, Ejtehadifar Sajjad, Faeghi Fariborz, Acharya U. Rajendra, Ardakani Ali Abbasian), s. 921--933
- artykuł: Prospects for the application of aptamer based assay platforms in pathogen detection (Banu Kauser, Mondal Bhairab, Rai Bhawana, Monica N., Hanumegowda Raju), s. 934--949
- artykuł: Textural feature of EEG signals as a new biomarker of reward processing in Parkinson’s disease detection (Ezazi Yasamin, Ghaderyan Peyvand), s. 950--962
- artykuł: Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks (Karthik R., Menaka R., Siddharth M.V.), s. 963--976
- artykuł: COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images (Fang Lingling, Wang Xin), s. 977--994
- artykuł: Cell image augmentation for classification task using GANs on Pap smear dataset (Zak Jakub, Grzeszczyk Michal K., Pater Antonina, Roszkowiak Lukasz, Siemion Krzysztof, Korzynska Anna), s. 995--1011
- artykuł: Detection of pneumonia using convolutional neural networks and deep learning (Szepesi Patrik, Szilágyi László), s. 1012--1022
- artykuł: EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals (Wang Huiyang, Yu Hua, Wang Haixian), s. 1023--1040
- artykuł: Dual-modality synthetic mammogram construction for breast lesion detection using U-DARTS (Rautela Kamakshi, Kumar Dinesh, Kumar Vijay), s. 1041--1050
- artykuł: Predicting hospital emergency department visits with deep learning approaches (Zhao Xinxing, Lai Joel Weijia, Ho Andrew Fu Wah, Liu Nan, Ong Marcus Eng Hock, Cheong Kang Hao), s. 1051--1065
- artykuł: Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds (Sobahi Nebras, Atila Orhan, Deniz Erkan, Sengur Abdulkadir, Acharya U. Rajendra), s. 1066--1080

rozwiń roczniki

JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.