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Manar Ahmed Hamza, Hanan Abdullah Mengash, Saud S. Alotaibi, Siwar Ben Haj Hassine, Ayman Yafoz, Fahd Althukair, Mahmoud Othman and Radwa Marzouk
A brain tumor (BT) is an abnormal development of brain cells that causes damage to the nerves and blood vessels. An accurate and early diagnosis of BT is important to prevent future complications. Precise segmentation of the BT provides a basis for surgi...
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Hanna Abramova, Oleg Avrunin
Pág. 115 - 121
The subject matter of research in the article is the morphological structure of bone tissue in the lumbar spine, visualized by tomography in the sagittal and axial planes. The goal of the research is to create the most informative investigation method fo...
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Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
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Giampaolo D?Alessandro, Pantea Tavakolian and Stefano Sfarra
The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and th...
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Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez and Vasudevan Lakshminarayanan
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection (CAD) systems, which make us...
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Chengxi Li and Andrew Zhu
With the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical ...
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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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Anuja Arora, Ambikesh Jayal, Mayank Gupta, Prakhar Mittal and Suresh Chandra Satapathy
Brain tumor segmentation seeks to separate healthy tissue from tumorous regions. This is an essential step in diagnosis and treatment planning to maximize the likelihood of successful treatment. Magnetic resonance imaging (MRI) provides detailed informat...
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Simona Marzi, Francesca Piludu, Ilaria Avanzolini, Valerio Muneroni, Giuseppe Sanguineti, Alessia Farneti, Pasqualina D?Urso, Maria Benevolo, Francesca Rollo, Renato Covello, Francesco Mazzola and Antonello Vidiri
Imaging-based predictors of HPV status could be used to non-invasively detect HPV positivity in cases in which biopsy is not feasible because of a hardly accessible tumor location, or when the HPV test results are conflicting. Radiomics signatures for HP...
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Nikhil Gala,K.D. Desai
Pág. 279 - 285
Magnetic resonance imaging (MRI) system projects the anatomical structures of brain ontospatial domain. Three-dimensional (3D) construction of brain tumor using several slides of MRI hasalways been of keen interest for diagnosis and for research purpose....
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Nadia Brancati and Maria Frucci
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ...
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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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Szidónia Lefkovits, László Lefkovits and László Szilágyi
Automatic brain tumor segmentation from multimodal MRI plays a significant role in assisting the diagnosis, treatment, and surgery of glioblastoma and lower glade glioma. In this article, we propose applying several deep learning techniques implemented i...
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?.?. Troyanozhko,I.D. Kolesin
Pág. 27 - 34
The optimization of the breast cancer diagnostics in considered in this paper. The issue of classifying a tumor as benign or malignant is being resolved. Histochemistry of breast tumor punctates is performed using a fine-needle aspiration puncture. Next,...
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Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam and Mohammed Benjelloun
Breast tumor segmentation in medical images is a decisive step for diagnosis and treatment follow-up. Automating this challenging task helps radiologists to reduce the high manual workload of breast cancer analysis. In this paper, we propose two deep lea...
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Enrica Serretiello, Annafrancesca Smimmo, Andrea Ballini, Domenico Parmeggiani, Massimo Agresti, Paola Bassi, Giancarlo Moccia, Antonella Sciarra, Alessandra De Angelis, Paola Della Monica, Maria Michela Marino and Marina Di Domenico
Breast cancer (BC) caused 685,000 deaths globally in 2020, earning the title of the most common type of tumor among females. With a multifactorial genesis, BC is influenced by several factors such as age, genetic and epigenetic predisposition, and an ind...
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Norah Fahd Alhussainan, Belgacem Ben Youssef and Mohamed Maher Ben Ismail
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, such a...
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Dimitrios Kollias, Karanjot Vendal, Priyankaben Gadhavi and Solomon Russom
Brain tumors pose significant health challenges worldwide, with glioblastoma being one of the most aggressive forms. The accurate determination of the O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status is crucial for personalized t...
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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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María Moncho Santonja, Bàrbara Micó-Vicent, Beatriz Defez, Jorge Jordán and Guillermo Peris-Fajarnes
The number of infectious spots or pathological structures recorded on dermatological images is a tool to aid in the diagnosis and monitoring of disease progression. Dermatological images for the detection and monitoring of the evolution of acne infection...
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