Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Shara S. A. Alves"'
Autor:
Francisco H. S. Silva, Shara S. A. Alves, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Pedro Pedrosa Rebouças Filho
Publikováno v:
International Journal of Hybrid Intelligent Systems. 16:189-205
According to the World Health Organization, severe lung pathologies bring about 250,000 deaths each year, and by 2030 it will be the third leading cause of death in the world. The usage of (CT) Computed Tomography is a crucial tool to aid medical dia
Autor:
Saulo A. F. Oliveira, Elizangela Souza Reboucas, Alan M. Braga, Pedro Pedrosa Rebouças Filho, Shara S. A. Alves
Publikováno v:
IEEE Latin America Transactions. 18:1329-1336
Lung diseases identification based on analysis and processing of medical images is important to assist medical doctors during the diagnosis process. In this context, this paper proposes a new feature extraction method based on human tissue density pa
Autor:
Luiz Lannes Loureiro, João Medeiros de Souza, Gabriel Bandeira Holanda, Elene Firmeza Ohata, Navar de Medeiros Mendonça e Nascimento, Shara S. A. Alves, Pedro Pedrosa Rebouças Filho
Publikováno v:
IJCNN
Keeping a certain balance of body fat is essential for a healthy life, and proper nutrition is fundamental. One of the most worrying malnutrition problems is obesity, which plays a significant risk factor for chronic diseases like cardiovascular dise
Autor:
Francisco H. S. Silva, Gabriel Bandeira Holanda, Luís Fabrício de F. Souza, Shara S. A. Alves, Pedro Pedrosa Rebouças Filho
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030493417
ISDA
ISDA
According to the World Health Organization the automatic segmentation of lung images is a major challenge in the processing and analysis of medical images, as many lung pathologies are classified as severe and such conditions bring about 250,000 deat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ce98edff7f86e1aeac9e660756292c
https://doi.org/10.1007/978-3-030-49342-4_14
https://doi.org/10.1007/978-3-030-49342-4_14
Autor:
Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho, C. H. Dias-Silva, Suane Pires P. da Silva, Virgínia Xavier Nunes, João Wellington M. Souza, Shara S. A. Alves, Roberto F. Ivo
Publikováno v:
IJCNN
Nutrition is a significant determinant of health, the resolution of many nutritional issues, initially requires an anthropometry examination. Body measures provide data for studying the relationship between diet, nutritional status, and health. Manua
Autor:
Pedro Pedrosa Rebouças Filho, Rhuan Victor Crescencio Santiago, Renato F. Pereira, Cilis Aragão Benevides, Jefferson S. Almeida, Caio C. H. Cunha, Alexis Galeno Matos, Shara S. A. Alves
Publikováno v:
CBMS
Diabetes is a major cause of blindness, kidney failure, heart attacks, stroke and lower limb amputation according to World Health Organization (WHO). Complications from poor diabetes management lead to the Diabetic Retinopathy (DR) which is a leading
Publikováno v:
Computer Vision and Image Understanding. 168:172-181
Image retargeting is a technique that adjusts input images into arbitrary dimensions (rows and columns) and simultaneously preserves regions of interest. Assess the image quality under varying aspect ratio is significantly more challenging since it r
Autor:
Raul Victor Medeiros da Nóbrega, Arun Kumar Sangaiah, João Batista Furlan Duarte, Pedro Pedrosa Rebouças Filho, Murillo Barata Rodrigues, Shara S. A. Alves, Victor Hugo C. de Albuquerque
Publikováno v:
IEEE Access, Vol 6, Pp 18592-18601 (2018)
Lung cancer is one of the leading causes of death world wide. Several computer-aided diagnosis systems have been developed to help reduce lung cancer mortality rates. This paper presents a novel structural co-occurrence matrix (SCM)-based approach to
Autor:
Pedro Pedrosa Rebouças Filho, Elene Firmeza Ohata, Francisco Dos Santos Hercules Silva, Jefferson S. Almeida, Shara S. A. Alves, Suane Pires P. da Silva
Publikováno v:
Anais Estendidos do XXXII Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2019).
Chronic kidney diseases cause over a million deaths worldwide every year. One of the techniques used to diagnose the diseases is renal scintigraphy. However, the way that is processed can vary depending on hospitals and doctors, compromising the repr
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Autor:
Qinhua Hu, Gabriel Bandeira Holanda, Pedro Pedrosa Rebouças Filho, Luís Fabrício de F. Souza, Francisco H. S. Silva, Tao Han, Shara S. A. Alves
Publikováno v:
Artificial intelligence in medicine. 103
Computer vision systems have numerous tools to assist in various medical fields, notably in image diagnosis. Computed tomography (CT) is the principal imaging method used to assist in the diagnosis of diseases such as bone fractures, lung cancer, hea