Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening by Imene Bouharati, Khaoula Bouharati

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NoiseAugmentNet-HHO: Enhancing Histopathological Image Classification Through Noise Augmentation by Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Sashikala Mishra

“…Histopathological image analysis is critical in contemporary medical diagnostics, enabling precise examination of tissue samples at microscopic levels. …”
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Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon by Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson

“…The National Cancer Institute (NCI) supports numerous research consortia that rely on imaging technologies to study cancerous tissues. To foster collaboration and innovation in this field, the Image Analysis Working Group (IAWG) was created in 2019. …”
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Speckle-Based Transmission and Dark-Field Imaging for Material Analysis with a Laboratory X-Ray Source by Diego Rosich, Margarita Chevalier, Tatiana Alieva

“…Two analysis windows are evaluated to determine the impact of noise on the image contrast of T and DF images and the ability to retrieve material characteristics. …”
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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

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Development and psychometric evaluation of the fear of medical imaging radiation scale (FOMIRS): insights from multimethod analysis by Lin-sen Feng, Si-rong She, Yuan-yuan Zhang, Jia-qi Xie, Zheng-jiao Dong, Ai Tang, Yin-zhu Li, Xiao-qian Wu, Qing Yang, Hao-yu Wang, San-bin Wang

“…Objective Fear of medical imaging radiation (FOMIR) may influence disease screening willingness; however, no validated tool currently exists to assess FOMIR. …”
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The Analysis about Compressed Sensing Reconstruction Algorithm Based on Machine Learning Applied in Interference Multispectral Images by Chang Han

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Universal Method for Detecting Violations in the Integrity of a Digital Image Based on Analysis of Blocks of its Matrix by Bobok I., Kobozeva A.

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SPECTREPlex: an automated, fast, high-resolution enabled approach for multiplexed cyclic imaging and tissue spatial analysis by Michael D. Anderson, Abigail Plone, Jeffrey La, Madison Wong, Krishnan Raghunathan, Jocelyn A. Silvester, Jay R. Thiagarajah

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A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images by Neetha George, Linu Shine, Ambily N, Bejoy Abraham, Sivakumar Ramachandran

“…The advancements in medical imaging techniques have brought exponential increase in the quantity and complexity of data which often require human expertise for interpretation and decision making. …”
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Magnetic resonance imaging in cervical cancer: current opportunities of radiomics analysis and prospects for its further developmen by A. E. Solopova, J. V. Nosova, B. B. Bendzhenova

“…The complexity of clinically evaluated tumor procession in cervical cancer (CC) accounts for a need to expand knowledge on applying medical imaging technologies in oncologic diagnostics spanning from predominantly qualitative analysis to a multiparametric approach, including a quantitative assessment of study parameters.Aim: to analyze the literature data on the use of radiomics and image texture analysis in diagnostics and prediction of aggressiveness of oncogynecological diseases including СС.Materials and Methods. …”
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Radiographic Evidence of Immature Bone Architecture After Sinus Grafting: A Multidimensional Image Analysis Approach by Ibrahim Burak Yuksel, Fatma Altiparmak, Gokhan Gurses, Ahmet Akti, Merve Alic, Selin Tuna

“…These results support the utility of advanced textural and fractal analysis in routine imaging to optimize clinical decision-making regarding implant placement timing in grafted sinuses.…”
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Efficacy and safety of fluoroquinolone-containing regimens in treating pulmonary Mycobacterium avium complex disease: A propensity score analysis. by Hisayuki Shuto, Kosaku Komiya, Akihiko Goto, Takamasa Kan, Kokoro Honjo, Sonoe Uchida, Shuichi Takikawa, Tetsuyuki Yoshimatsu, Mari Yamasue, Kazufumi Hiramatsu, Jun-Ichi Kadota

“…Patients treated with fluoroquinolone-containing regimens who had relapsed after treatment with standard regimens were excluded. A propensity score analysis was conducted to reduce selection bias, and the proportions of clinical improvement, defined by chest imaging findings and sputum conversion, were compared between the fluoroquinolone-containing regimen and standard regimen groups.…”
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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

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Analysis of Splicing Manipulation in Digital Images using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) Methods by Zumratul Muhidin, Muh. Nasirudin Karim, Muhamad Masjun Efendi

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Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images by Yuhang Zhang, Wuxia Zhang, Songtao Ding, Siyuan Wu, Xiaoqiang Lu

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Towards a standardized reporting of the impact of magnetic resonance imaging on the decision-making of thoracolumbar fractures without neurological deficit: Conceptual framework an... by Mohamed M. Aly, Sebastian F. Bigdon, Ulrich J.A. Speigl, Gaston Camino-Willhuber, Saleh Baeesa, Klaus J. Schnake

“…Introduction: A recent meta-analysis showed that only four prior studies have shown that magnetic resonance imaging (MRI) can change the fracture classification in 17% and treatment decisions in 22% of cases. …”
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THE MOTIVATING FUNCTION OF MYTH: A COGNITIVE ONOMASIOLOGICAL ANALYSIS by Elena Sеlivanova, Valentyna Kalko, Nikolay Kalko

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Transfer-Learning Approach for Enhanced Brain Tumor Classification in MRI Imaging by Amarnath Amarnath, Ali Al Bataineh, Jeremy A. Hansen

“…Background: Intracranial neoplasm, often referred to as a brain tumor, is an abnormal growth or mass of tissues in the brain. The complexity of the brain and the associated diagnostic delays cause significant stress for patients. …”
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Using Masked Image Modelling Transformer Architecture for Laparoscopic Surgical Tool Classification and Localization by Hisham ElMoaqet, Rami Janini, Mutaz Ryalat, Ghaith Al-Refai, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller, Nassir Navab

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