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Autor:
Zahid Rasheed, Yong-Kui Ma, Inam Ullah, Mahmoud Al-Khasawneh, Sulaiman Sulmi Almutairi, Mohammed Abohashrh
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 701 (2024)
The application of magnetic resonance imaging (MRI) in the classification of brain tumors is constrained by the complex and time-consuming characteristics of traditional diagnostics procedures, mainly because of the need for a thorough assessment acr
Externí odkaz:
https://doaj.org/article/adc5a596d55d4803b98497006d6fad96
Autor:
Alfonso Mastropietro, Nicola Casali, Maria Giovanna Taccogna, Maria Grazia D’Angelo, Giovanna Rizzo, Denis Peruzzo
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 580 (2024)
Muscular dystrophies present diagnostic challenges, requiring accurate classification for effective diagnosis and treatment. This study investigates the efficacy of deep learning methodologies in classifying these disorders using skeletal muscle MRI
Externí odkaz:
https://doaj.org/article/ff9a5d1373894a00afd11070fd080e9a
Autor:
Zubair Saeed, Othmane Bouhali, Jim Xiuquan Ji, Rabih Hammoud, Noora Al-Hammadi, Souha Aouadi, Tarraf Torfeh
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 410 (2024)
Brain cancer is a life-threatening disease requiring close attention. Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. However, manual diagnosis by radiologist experts is time-
Externí odkaz:
https://doaj.org/article/7afe0c3a7e8b42219eff554039ae25b8
Autor:
Manh Hung-Nguyen
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 316 (2024)
Chest X-ray (CXR) examination serves as a widely employed clinical test in medical diagnostics. Many studied have tried to apply artificial intelligence (AI) programs to analyze CXR images. Despite numerous positive outcomes, assessing the applicabil
Externí odkaz:
https://doaj.org/article/c935e0593262429c83cb32469513a101
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 341 (2024)
The most common classifications for acetabular bone defects are based on radiographic two-dimensional imaging, with low reliability and reproducibility. With the rise of modern processing techniques based on 3D modelling, methodologies for the volume
Externí odkaz:
https://doaj.org/article/230d36b282e043b1ab9a15f67f8b84c4
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1430 (2023)
The early identification and treatment of various dermatological conditions depend on the detection of skin lesions. Due to advancements in computer-aided diagnosis and machine learning approaches, learning-based skin lesion analysis methods have att
Externí odkaz:
https://doaj.org/article/a8317c6b835c4e94ab3a9f7eb44fe6bf
Autor:
Luís Pinto-Coelho
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1435 (2023)
The integration of artificial intelligence (AI) into medical imaging has guided in an era of transformation in healthcare. This literature review explores the latest innovations and applications of AI in the field, highlighting its profound impact on
Externí odkaz:
https://doaj.org/article/34b9cf3ced3b4c64ad9c13251cd33343
Autor:
Federico Calà, Lorenzo Frassineti, Elisabetta Sforza, Roberta Onesimo, Lucia D’Alatri, Claudia Manfredi, Antonio Lanata, Giuseppe Zampino
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1375 (2023)
Perceptual and statistical evidence has highlighted voice characteristics of individuals affected by genetic syndromes that differ from those of normophonic subjects. In this paper, we propose a procedure for systematically collecting such pathologic
Externí odkaz:
https://doaj.org/article/dbff183bd90e40dd9c81ecf6f75f8d69
Autor:
Aurélien Olivier, Clément Hoffmann, Sandrine Jousse-Joulin, Ali Mansour, Luc Bressollette, Benoit Clement
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1283 (2023)
To diagnose Gougerot–Sjögren syndrome (GSS), ultrasound imaging (US) is a promising tool for helping physicians and experts. Our project focuses on the automatic detection of the presence of GSS using US. Ultrasound imaging suffers from a weak sig
Externí odkaz:
https://doaj.org/article/81a7d163ed20427f8ed1986f78b96dc2
Autor:
Alberto Labrada, Buket D. Barkana
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1289 (2023)
Breast cancer is the second most common cancer in women who are mainly middle-aged and older. The American Cancer Society reported that the average risk of developing breast cancer sometime in their life is about 13%, and this incident rate has incre
Externí odkaz:
https://doaj.org/article/83beed993b6a43a7b6dc1576e6175caf