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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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Jöran Rixen, Nico Blass, Simon Lyra and Steffen Leonhardt
Breast cancer is the leading cause of cancer-related death among women. Early prediction is crucial as it severely increases the survival rate. Although classical X-ray mammography is an established technique for screening, many eligible women do not con...
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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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Abduladhim Ashtaiwi
Pathologists use histopathology to examine tissues or cells under a microscope to compare healthy and abnormal tissue structures. Differentiating benign from malignant tumors is the most critical aspect of cancer histopathology. Pathologists use a range ...
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Alexander V. Khoperskov and Maxim V. Polyakov
This work includes a brief overview of the applications of the powerful and easy-to-perform method of microwave radiometry (MWR) for the diagnosis of various diseases. The main goal of this paper is to develop a method for diagnosing breast oncology base...
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Zahra El-Schich, Yuecheng Zhang, Tommy Göransson, Nishtman Dizeyi, Jenny L. Persson, Emil Johansson, Remi Caraballo, Mikael Elofsson, Sudhirkumar Shinde, Börje Sellergren and Anette Gjörloff Wingren
Sialylations are post-translational modifications of proteins and lipids that play important roles in many cellular events, including cell-cell interactions, proliferation, and migration. Tumor cells express high levels of sialic acid (SA), which are oft...
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Shahriar Mahmud Kabir, Mohammed I. H. Bhuiyan, Md Sayed Tanveer and ASM Shihavuddin
This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images. The Rician Inverse Gaussian (RiIG) distribution is considered for modeling the statistics o...
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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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Luana Conte, Benedetta Tafuri, Maurizio Portaluri, Alessandro Galiano, Eleonora Maggiulli and Giorgio De Nunzio
Automatic CAD system in detecting tumors as a valuable support to radiologists for detection and characterization of breast cancers in dynamic contrast-enhanced magnetic resonance imaging (DCE?MRI) images.
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Claudio Luparello, Debora Ragona, Dalia Maria Lucia Asaro, Valentina Lazzara, Federica Affranchi, Vincenzo Arizza and Mirella Vazzana
Triple-negative breast cancer (TNBC) is a highly malignant tumor histotype which lacks effective targeted therapies, thereby being considered as the most aggressive form of breast carcinoma. To identify novel compounds which could counteract TNBC cell gr...
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