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Marina Gradiser, Martina Matovinovic Osvatic, Dario Dilber and Ines Bilic-Curcic
The aim of this study was to assess environmental and hereditary influence on development of pituitary tumors using dermatoglyphic traits. The study was performed on 126 patients of both genders with pituitary tumors (60 non-functional and 66 functional ...
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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Duc-Ky Ngo, Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
Segmenting brain tumors accurately and reliably is an essential part of cancer diagnosis and treatment planning. Brain tumor segmentation of glioma patients is a challenging task because of the wide variety of tumor sizes, shapes, positions, scanning mod...
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Ayesha Younis, Li Qiang, Charles Okanda Nyatega, Mohammed Jajere Adamu and Halima Bello Kawuwa
A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no control over tumor growth. Deep learning has been argued to have the potential to overcome the challenges associated with detecting and intervening in brain tum...
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Mohammad H. Alshayeji and Jassim Al-Buloushi
Improved disease prediction accuracy and reliability are the main concerns in the development of models for the medical field. This study examined methods for increasing classification accuracy and proposed a precise and reliable framework for categorizi...
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Maha Gharaibeh, Dalia Alzu?bi, Malak Abdullah, Ismail Hmeidi, Mohammad Rustom Al Nasar, Laith Abualigah and Amir H. Gandomi
Plenty of disease types exist in world communities that can be explained by humans? lifestyles or the economic, social, genetic, and other factors of the country of residence. Recently, most research has focused on studying common diseases in the populat...
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Gilberto Rodrigues Liska, Marcelo Ângelo Citillo, Fortunato Silva de Menezes, Júlio Silvio de Sousa Bueno Filho (Author)
Pág. e44068
A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carboh...
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Gilberto Rodrigues Liska, Marcelo Ângelo Citillo, Fortunato Silva de Menezes, Júlio Silvio de Sousa Bueno Filho
Pág. e44068
A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carboh...
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Alessandra Maria Vitale, Radha Santonocito, Giuseppe Vergilio, Antonella Marino Gammazza, Claudia Campanella, Everly Conway de Macario, Fabio Bucchieri, Alberto J. L. Macario and Celeste Caruso Bavisotto
Primary and metastatic brain tumors are usually serious conditions with poor prognosis, which reveal the urgent need of developing rapid diagnostic tools and efficacious treatments. To achieve these objectives, progress must be made in the understanding ...
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Basil Kadhim Abdullah, Zardasht Bakr Mohammed, Khalid Hama Salih, Aram Baram, Dashti Latif Muhealddina, Ali Omer Qadir, Rebwar Ahmed Shrif, Rzgar Ghareeb Muhamed
Pág. 53 - 57
Thymic epithelial neoplasms consist of thymomas, thymic carcinoids and thymic carcinomas. Carcinomas are malignant tumors of the thymus; they compromise only 4%-14% of thymic epithelial neoplasms. Thymic carcinoma cells do not resemble healthy cells but ...
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Milica M. Bad?a and Marko C. Barjaktarovic
The use of machine learning algorithms and modern technologies for automatic segmentation of brain tissue increases in everyday clinical diagnostics. One of the most commonly used machine learning algorithms for image processing is convolutional neural n...
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May Phu Paing, Kazuhiko Hamamoto, Supan Tungjitkusolmun and Chuchart Pintavirooj
Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly depend on the spec...
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Enzo Emanuelli, Vera Comiati, Diego Cazzador, Gloria Schiavo, Enrico Alexandre, Ugo Fedeli, Giuliana Frasson, Alessia Zanon, Alessandro Martini, Maria Luisa Scapellato and Giuseppe Mastrangelo
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Md Ishtyaq Mahmud, Muntasir Mamun and Ahmed Abdelgawad
Creating machines that behave and work in a way similar to humans is the objective of artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving, computer activities with artificial intelligence include other activiti...
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Ewa Cyranska-Chyrek, Ewelina Szczepanek-Parulska, Michal Olejarz and Marek Ruchala
Background: A rise in adrenal incidentalomas (AIs) detection has been observed recently. Even though AIs are detected in asymptomatic patients, thorough assessment may reveal hormonal and metabolic abnormalities or malignant character. Methods: Medical r...
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Navid Khalili Dizaji and Mustafa Dogan
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ...
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Anis Ahmad, Tulasigeri M. Totiger, Ana Paula Benaduce, Brian Marples and Ivaylo Bodganov Mihaylov
Triple-negative breast cancer (TNBC), which is a type of invasive breast cancer, is characterized by severe disease progression, poor prognosis, high recurrence rate, and short survival. We sought to gain new insight into TNBC by applying computed tomogr...
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David Clement, Emmanuel Agu, John Obayemi, Steve Adeshina and Wole Soboyejo
Breast cancer accounts for 30% of all female cancers. Accurately distinguishing dangerous malignant tumors from benign harmless ones is key to ensuring patients receive lifesaving treatments on time. However, as doctors currently do not identify 10% to 3...
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Alessia Catalano, Domenico Iacopetta, Maria Stefania Sinicropi and Carlo Franchini
The diarylurea is a scaffold of great importance in medicinal chemistry as it is present in numerous heterocyclic compounds with antithrombotic, antimalarial, antibacterial, and anti-inflammatory properties. Some diarylureas, serine-threonine kinase or t...
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Jie Xu, Xing He, Wei Shao, Jiang Bian and Russell Terry
Up to 20% of renal masses =4 cm is found to be benign at the time of surgical excision, raising concern for overtreatment. However, the risk of malignancy is currently unable to be accurately predicted prior to surgery using imaging alone. The objective ...
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