ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In the last decade, medical imaging techniques show its efficiency in helping radiologists to detect and diagnose the diseases. Deep learning and transfer learning algorithms are good techniques to detect disease from different image source types such as X-Ray and CT scan images. …”
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Evaluation of a Surgical Navigation System for Localization and Excision of Nonpalpable Lesions in Breast and Axillary Surgery by Kjirsten A. Carlson, Cristina Checka, Kelly K. Hunt, Jennifer Jung, Christian Bridges, Puneet Singh, Ana Refinetti, Tanya Moseley, Frances Perez, Cody Mayo, Nina Tamirisa

“…SmartClips were placed by designated radiologists using ultrasound (US) or mammographic (MMG) guidance. …”
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Cross-Platform Analysis of Mammography Narratives: A Comparative Study on Social Media Engagement by Thomas Stirrat, Jonathan Garner, Parth Tailor, Daniel Weitz, Muhammad Umair, Yusuf T. Akpolat

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Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis by Sunil L. Bangare, Deepali Virmani, Girija Rani Karetla, Pankaj Chaudhary, Harveen Kaur, Syed Nisar Hussain Bukhari, Shahajan Miah

“…The application of new technologies like machine learning, deep learning, and other models support doctors, nurses, and radiologists to predict heart disease effectively. Studies have stated that the various models are used mainly for the classification and forecasting of the diagnosis of heart-related diseases. …”
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Ketamine Use in Hysterosalpingography (the Jimah Procedure): A Follow-Up of Bilateral Tubal Evaluation of 27 Infertile  Women  at a Teaching Hospital, Ghana by Bashiru Babatunde Jimah, Anthony Baffour Appiah, Benjamin Dabo Sarkodie, Dorothea Anim

“…We recommend that radiologists in developing countries should consider sedating patients during HSG and documenting observations and patients’ feedback to help assess safety and effectiveness in local settings.…”
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Proportion of Variant Anatomy of the Circle of Willis and Association with Vascular Anomalies on Cerebral CT Angiography by Roy Munialo Machasio, Rose Nyabanda, Timothy Musila Mutala

“…MIP and 3D reformatted images were analyzed by two senior radiologists to determine the final configuration of the CW and presence of vascular pathology. …”
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Diagnostic Accuracy of Non-Contrast Magnetic Resonance Imaging in Diagnosing Pituitary Micro-Adenoma, Taking Histopathology as Gold Standard by Sehar Sarfraz, Tayyaba Ali, Pakeeza Shafiq, Zartashia Khan, Waqar Azeem, Ghazala Rasool, Ehsan Ul Haq

“…A standardized protocol was used for non-contrast MRI and findings were interpreted by experienced radiologists. The comparison was made against histopathology as the reference standard. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Furthermore, new tools can ease the workload for radiologists, leading to more standardised and efficient diagnostic procedures.…”
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An Analysis of the Rate and Reasons for Rejected Radiographs in Emergency and Non-Emergency Radiology Departments in Yasuj, Iran by Seyyed Amir Moradian, Hamed Zamani, Saman Dalvand

“…Conclusion: In comparison to previous research, the current study's percentage of rejected images was deemed acceptable. Radiologists are advised to frequently assess the reason and rate for rejecting radiographs to enhance the effectiveness of their radiology unit. …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain tumor detection and classification have become challenging and time-consuming for domain-specific radiologists and pathologists in medical image analysis. …”
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INFLUENCE OF EXO- AND ENDOGENOUS FACTORS ON THE MORPHOLOGICAL AND FUNCTIONAL STATE OF THE SPLEEN AS AN IMPORTANT MEDICAL AND SOCIAL PROBLEM OF THE HEALTH CARE SYSTEM by O.V. Mamai, S.M. Bilash, R.M. Grinko

“…The spleen is often considered a “forgotten organ” among clinicians and radiologists. Nevertheless, the spleen can be involved in a variety of congenital and acquired diseases, which makes it important to study the influence of exogenous and endogenous factors on its morphological and functional state. …”
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

“…This approach has great potential to support radiologists and physicians in making timely and accurate diagnoses.…”
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An Efficient Dual-Sampling Approach for Chest CT Diagnosis by Alshamrani K, Alshamrani HA

“…This advancement has the potential to aid radiologists in making more accurate diagnoses, ultimately benefiting patient treatment and contributing to better overall population health. …”
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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

“…These fusion masks, which were guided by multiple sequences, helped collect information from the regions that seem disease-free to radiologists in standard MRI sequences while harboring pathology. …”
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Leiomyosarcomas of the inferior vena cava: diagnostic features on contrast-enhanced CT, ultrasonography and MRI by Xiaolin Xu, Shilei Zhao, Lifang Xue

“…Images were independently reviewed by two experienced radiologists. The clinical presentations and diagnostic characteristics were recorded.ResultsThe study involved 16 female and 5 male patients, with an average age of 55 ± 11 years (ranging from 34 to 80 years). …”
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Surgical planning of small intestine neuroendocrine tumors: the concept of mesenteric tumor deposits by Romain L’Huillier, Gilles Poncet, Arnaud Pasquer, Thomas Walter, Catherine Lombard-Bohas, Valérie Hervieu, Bénédicte Cayot, Pierre-Jean Valette, Helen Cheung, Laurent Milot

“…Preoperative CTs were reviewed, blinded from surgical and pathological data, by two radiologists. Diagnostic accuracy and interobserver reliability analysis were performed. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts’ accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. …”
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The Impact of Weighting Factors on Dual-Energy Computed Tomography Image Quality in Non-Contrast Head Examinations: Phantom and Patient Study by Doris Šegota Ritoša, Doris Dodig, Slavica Kovačić, Nina Bartolović, Ivan Brumini, Petra Valković Zujić, Slaven Jurković, Damir Miletić

“…Based on the phantom study findings, WFs of 0.4, 0.6, and 0.8 were chosen for patient analyses, which were identically carried out on 85 patients who underwent non-contrast head DECT. Three radiologists performed subjective phantom and patient analyses. …”
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Intravenous Contrast Agent in Abdominal CT: Is It Really Needed to Identify the Cause of Bowel Obstruction? Proof of Concept by Federica Vernuccio, Dario Picone, Gregorio Scerrino, Massimo Midiri, Giuseppe Lo Re, Roberto Lagalla, Giuseppe Salvaggio

“…We retrospectively evaluated abdominal CT scans of patients operated for bowel obstruction from March 2013 to October 2017. Two radiologists evaluated CT scans before and after contrast agent in two reading sessions. …”
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