Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Victor Hugo C. de Albuquerque"'
Autor:
Yongzhao Xu, Renato W. R. de Souza, Elias P. Medeiros, Neha Jain, Lijuan Zhang, Leandro A. Passos, Victor Hugo C. de Albuquerque
Publikováno v:
Soft Computing. 27:4279-4288
Autor:
K. Shankar, S. K. Lakshmanaprabu, Deepak Gupta, Andino Maseleno, Victor Hugo C. de Albuquerque
Publikováno v:
The Journal of Supercomputing. 79:7063-7064
Autor:
Elene Firmeza Ohata, Gabriel M. Bezerra, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Pedro Pedrosa Rebouças Filho, João Victor Souza das Chagas
Publikováno v:
The Journal of Supercomputing. 77:9494-9519
Colorectal cancer (CRC) is the second most diagnosed cancer in the United States. It is identified by histopathological evaluations of microscopic images of the cancerous region, relying on a subjective interpretation. The Colorectal Histology datase
Autor:
Solon Alves Peixoto, Aldisio G. Medeiros, Victor Hugo C. de Albuquerque, M. Ali Akber Dewan, Pedro Pedrosa Rebouças Filho, Mohammad Mehedi Hassan
Publikováno v:
Multimedia Systems. 28:1151-1163
This work presents a high-performance approach for 3D lung segmentation tasks in computer tomography images using a new intelligent machine learning algorithm called Floor of Log(FoL). The Support Vector Machine was used to learn the better parameter
Publikováno v:
Multimedia Tools and Applications. 80:30399-30415
Early detection, early diagnosis and classification of the cancer type facilitates faster disease management of patients. Cervical cancer is fourth most pervasive cancer type which affects life of many people worldwide. The intent of this study is to
Autor:
Rutvij H. Jhaveri, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque, Aditya Khamparia, Deepak Gupta
Publikováno v:
The Journal of Supercomputing. 76:8590-8608
Cervical cancer is one of the fastest growing global health problems and leading cause of mortality among women of developing countries. Automated Pap smear cell recognition and classification in early stage of cell development is crucial for effecti
Publikováno v:
Neural Computing and Applications.
With more than 50 million people worldwide at risk of heart disease, early diagnosis of cardiovascular disease is essential. The classification of electrocardiogram (ECG) recordings can diagnose Atrial Fibrillation (AF) and other types of arrhythmia.
Autor:
Salman A. AlQahtani, Lixin Wang, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Jianfeng Cui, Xiangmin He
Publikováno v:
Neural Computing and Applications.
Feature extraction plays an important role in arrhythmia classification, and successful arrhythmia classification generally depends on ECG feature extraction. This paper proposed a feature extraction method combining traditional approaches and 1D-CNN
Publikováno v:
Neural Computing and Applications. 32:603-605
Autor:
Leandro Balby Marinho, Solon Alves Peixoto, Victor Hugo C. de Albuquerque, Navar de Medeiros Mendonça e Nascimento, Pedro Pedrosa Rebouças Filho, João Paulo do Vale Madeiro
Publikováno v:
Circuits, Systems, and Signal Processing. 39:631-650
The electrocardiogram (ECG) is a widely disseminated method for detecting heart diseases due to its lower cost than other tests. But, some steps are important for detecting cardiac arrhythmias in ECG signals, which are: preprocessing, segmentation, f