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Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah and Philip M. Evans
The application of this work is in radiomics for medical imaging analysis. It addresses the question of how to establish if radiomic features are stable and reproducible.
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Fahimeh Aminolroayaei, Saghar Shahbazi-Gahrouei, Amir Khorasani and Daryoush Shahbazi-Gahrouei
Breast cancer is the foremost common cause of death in women, and its early diagnosis will help treat and increase patients? survival. This review article aims to look at the studies on the recent findings of standard imaging techniques and their charact...
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Luigi Napolitano, Simona Ippoliti, Peter Fletcher, Martina Caruso, Luigi Cirillo, Roberto Miano, Enrico Finazzi Agrò, Roberto La Rocca, Ferdinando Fusco, Davide Arcaniolo and Luca Orecchia
Bladder cancer (BC) is common worldwide, and has aggressive features and high rates of relapse despite treatments. Approximately 30% of patients present with muscle invasive disease, and therefore, high risk of metastasis. This review provides an overvie...
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Nure Alam Chowdhury, Lulu Wang, Linxia Gu and Mehmet Kaya
Breast cancer is a generalized global problem. Biomarkers are the active substances that have been considered as the signature of the existence and evolution of cancer. Early screening of different biomarkers associated with breast cancer can help doctor...
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Bochong Li, Ryo Oka, Ping Xuan, Yuichiro Yoshimura and Toshiya Nakaguchi
The role of multi-parametric magnetic resonance imaging (mp-MRI) is becoming increasingly important in the diagnosis of the clinical severity of prostate cancer (PCa). However, mp-MRI images usually contain several unaligned 3D sequences, such as DWI ima...
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Susanna Guerrini, Davide Del Roscio, Matteo Zanoni, Paolo Cameli, Elena Bargagli, Luca Volterrani, Maria Antonietta Mazzei and Luca Luzzi
Background: Lung cancer (LC) represents the main cause of cancer-related deaths worldwide, especially because the majority of patients present with an advanced stage of the disease at the time of diagnosis. This systematic review describes the evidence b...
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Alberto Battistel, Peter Paul Pott and Knut Möller
Worldwide, lung cancer is one of the most common causes of cancer-related death. Detected by computer tomography, it is usually removed through thoracoscopic surgery. During the surgery the lung collapses requiring some strategies to track or localize th...
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Simona Di Meo, Giulia Matrone and Marco Pasian
The proposed millimeter-wave imaging system could be used as an alternative technique for early-stage breast cancer detection, significantly increasing survival chances.
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Ines A. Cruz-Guerrero, Raquel Leon, Daniel U. Campos-Delgado, Samuel Ortega, Himar Fabelo and Gustavo M. Callico
This paper describes the application of linear unmixing to classify intraoperative hyperspectral images of in vivo brain tissue with a reduced computational cost compared to a machine learning approach without compromising precision.
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Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori and Antonella Petrillo
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosi...
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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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Huseyin Polat and Homay Danaei Mehr
Lung cancer is the most common cause of cancer-related deaths worldwide. Hence, the survival rate of patients can be increased by early diagnosis. Recently, machine learning methods on Computed Tomography (CT) images have been used in the diagnosis of lu...
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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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Jong-ryul Choi and Juyoung Park
Techniques that increase the permeability of the cell membrane and transfer drugs or genes to cells have been actively developed as effective therapeutic modalities. Also, in line with the development of these drug delivery techniques, the establishment ...
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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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Bardia Yousefi, Hamed Akbari, Michelle Hershman, Satoru Kawakita, Henrique C. Fernandes, Clemente Ibarra-Castanedo, Samad Ahadian and Xavier P. V. Maldague
Early diagnosis of breast cancer unequivocally improves the survival rate of patients and is crucial for disease treatment. With the current developments in infrared imaging, breast screening using dynamic thermography seems to be a great complementary m...
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Run Fang, Libo Zeng and Fan Yi
Multi-spectral imaging technique plays an important role in real-world applications such as medicine and medical detections. This paper proposes a cervical cancer cell screening method to simultaneously adopt TBS classification and DNA quantitative analy...
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Vladimir M. Fomin and Victor Yu. Timoshenko
The present overview of spin-dependent phenomena in nonmagnetic semiconductor microparticles (MPs) and nanoparticles (NPs) with interacting nuclear and electron spins is aimed at covering a gap between the basic properties of spin behavior in solid-state...
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Edoardo Ferocino, Antonio Pifferi, Simon Arridge, Fabrizio Martelli, Paola Taroni and Andrea Farina
The present work represents a preliminary performance assessment of a simulated system for Time Domain Diffuse Optical Tomography, in view of the upcoming development of a real system for breast cancer imaging, which shall feature a reduced number of sou...
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Augustinas Matulevicius, Arnas Bakavicius, Albertas Ulys, Mantas Trakymas, Jurgita U?inskiene, Ieva Naru?eviciute, Rasa Sabaliauskaite, Kristina ?ukauskaite, Sonata Jarmalaite and Feliksas Jankevicius
The primary objective of this study was to demonstrate the high accuracy of multiparametric magnetic resonance imaging and ultrasound fusion (mpMRI/US)-guided targeted prostate biopsy for the detection of clinically significant prostate cancer (PCa) and ...
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