Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Maha Sharkas"'
Autor:
Maha Sharkas, Omneya Attallah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Colorectal cancer (CRC) exhibits a significant death rate that consistently impacts human lives worldwide. Histopathological examination is the standard method for CRC diagnosis. However, it is complicated, time-consuming, and subjective. Co
Externí odkaz:
https://doaj.org/article/ac0e43ec5c9d421f9fc66a8b284657f7
Autor:
Omneya Attallah, Maha Sharkas
Publikováno v:
PeerJ Computer Science, Vol 7, p e423 (2021)
Gastrointestinal (GI) diseases are common illnesses that affect the GI tract. Diagnosing these GI diseases is quite expensive, complicated, and challenging. A computer-aided diagnosis (CADx) system based on deep learning (DL) techniques could conside
Externí odkaz:
https://doaj.org/article/f7ddec43a16749ed99d2a2c3a291fa28
Publikováno v:
PeerJ Computer Science, Vol 6, p e303 (2020)
We are concerned with the challenge of coronavirus disease (COVID-19) detection in chest X-ray and Computed Tomography (CT) scans, and the classification and segmentation of related infection manifestations. Even though it is arguably not an establis
Externí odkaz:
https://doaj.org/article/5e0cfcc2471d4d03b001151db8078e0a
Publikováno v:
PeerJ, Vol 8, p e10086 (2020)
Coronavirus (COVID-19) was first observed in Wuhan, China, and quickly propagated worldwide. It is considered the supreme crisis of the present era and one of the most crucial hazards threatening worldwide health. Therefore, the early detection of CO
Externí odkaz:
https://doaj.org/article/5cf0b859ea494674b2d3c97b50633935
Publikováno v:
PeerJ, Vol 7, p e6201 (2019)
It is important to detect breast cancer as early as possible. In this manuscript, a new methodology for classifying breast cancer using deep learning and some segmentation techniques are introduced. A new computer aided detection (CAD) system is prop
Externí odkaz:
https://doaj.org/article/d26447df4c8d4ddda0ca52cb6d06dbd6
Publikováno v:
Diagnostics, Vol 10, Iss 3, p 131 (2020)
This research is concerned with malignant pulmonary nodule detection (PND) in low-dose CT scans. Due to its crucial role in the early diagnosis of lung cancer, PND has considerable potential in improving the survival rate of patients. We propose a tw
Externí odkaz:
https://doaj.org/article/57700eceeb044f1aa2b94782b7444ff3
Publikováno v:
Diagnostics, Vol 9, Iss 4, p 165 (2019)
Breast cancer is one of the major health issues across the world. In this study, a new computer-aided detection (CAD) system is introduced. First, the mammogram images were enhanced to increase the contrast. Second, the pectoral muscle was eliminated
Externí odkaz:
https://doaj.org/article/029d1b3d360e47b4b144c9aad7662f7e
Autor:
Maha Sharkas
Publikováno v:
Multimedia Tools and Applications. 81:43919-43945
Biometrics has emerged as a major domain for security systems. Ear as a biometric has many distinctive features which makes it promising for personal identification systems. In this paper, two tracks for classification of ear images are implemented a
Autor:
Maha Sharkas, Omneya Attallah
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e423 (2021)
PeerJ Computer Science, Vol 7, p e423 (2021)
Gastrointestinal (GI) diseases are common illnesses that affect the GI tract. Diagnosing these GI diseases is quite expensive, complicated, and challenging. A computer-aided diagnosis (CADx) system based on deep learning (DL) techniques could conside
Autor:
Omneya Attallah, Maha Sharkas
Publikováno v:
Contrast Media & Molecular Imaging, Vol 2021 (2021)
Contrast Media & Molecular Imaging
Contrast Media & Molecular Imaging
The rates of skin cancer (SC) are rising every year and becoming a critical health issue worldwide. SC’s early and accurate diagnosis is the key procedure to reduce these rates and improve survivability. However, the manual diagnosis is exhausting,