Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

“…Hyperspectral image (HSI) super-resolution (SR) faces significant challenges due to the inherent difficulty in acquiring large-scale training data and the complex spectral-spatial relationships in HSIs that conventional deep-learning-based methods often fail to fully exploit. …”
Get full text

A Convex Variational Interactive Model with Projection Method for Digital Images Partitioning by Abdul Kadir Jumaat, Mohamed Ammareza Mohamed Shariff, Nuruljannah Khairunnizam

“… Digital image partitioning separates the foreground of an image from the background for subsequent analysis. …”
Get full text

Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data by Geonung Park, Bonggeun Song, Kyunghun Park

“…However, to calculate morphological attributes, it is necessary to delineate ITCs, and applying the watershed segmentation (WS) algorithm, commonly used in forests, to urban environments presents challenges due to the reliance on single-band data and complexity of heterogeneous urban elements. Additionally, deep learning (DL) models, which excel in image analysis, are constrained by the labor-intensive label generation process. …”
Get full text

Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review by Guido Marchi, Mattia Mercier, Jacopo Cefalo, Carmine Salerni, Martina Ferioli, Piero Candoli, Leonardo Gori, Federico Cucchiara, Giovanni Cenerini, Giacomo Guglielmi, Michele Mondoni

Get full text

AFHNet: Attention-Free Hybrid Network for Salient Object Detection in Underwater Images by Qian Tang, Zhen Wang, Xuqi Wang, Shan-Wen Zhang

“…To address these issues, we propose an Attention-Free Hybrid Network (AFHNet) for underwater optical image analysis. AFHNet integrates an attention-free mechanism, global feature enhancement, and a convolution-free Transformer-based dual-encoder to effectively fuse RGB and depth features while preserving essential information. …”
Get full text

Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review by Majid Roshanfar, Mohammadhossein Salimi, Sun-Joo Jang, Albert J. Sinusas, Jiwon Kim, Bobak Mosadegh

“…<b>Conclusions:</b> We conclude that continued innovation in hybrid imaging systems, coupled with advances in automation, will be essential for optimizing procedural outcomes and expanding access to complex cardiac interventions.…”
Get full text

Multi-Attitude Hybrid Network for Remote Sensing Hyperspectral Images Super-Resolution by Chi Chen, Yunhan Sun, Xueyan Hu, Ning Zhang, Hao Feng, Zheng Li, Yongcheng Wang

“…Benefiting from the development of deep learning, the super-resolution technology for remote sensing hyperspectral images (HSIs) has achieved impressive progress. However, due to the high coupling of complex components in remote sensing HSIs, it is challenging to achieve a complete characterization of the internal information, which in turn limits the precise reconstruction of detailed texture and spectral features. …”
Get full text

Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith by Kasper Skog, Tomáš Kohout, Tomáš Kašpárek, Antti Penttilä, Monika Wolfmayr, Jaan Praks

“…The JPEG 2000 implementation is sourced from the JasPer library, whereas a custom implementation was written for CCSDS 122.0. The performance analysis for both algorithms consists of compressing simulated asteroid images in the visible and near-infrared spectral ranges. …”
Get full text

PCPAm - A dataset of histopathological images of penile cancer for classification tasksZenodo by Marcos Gabriel Mendes Lauande, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Vandecia Rejane Monteiro Fernandes, Anselmo Cardoso de Paiva, Rui Miguel Gil da Costa, Amanda Mara Teles, Leandro Lima da Silva, Haissa Oliveira Brito, Flávia Castello Branco Vidal

“…These extended labels enhance the dataset’s versatility for more complex tasks in medical image analysis. The dataset holds significant reuse potential for machine learning tasks beyond binary classification, allowing researchers to explore additional layers of analysis, such as HPV detection and histological grading. …”
Get full text

Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging. by Livia S Eberlin, Katherine Margulis, Ivette Planell-Mendez, Richard N Zare, Robert Tibshirani, Teri A Longacre, Moe Jalali, Jeffrey A Norton, George A Poultsides

“…Ambient mass spectrometry imaging has emerged as a powerful technique for chemical imaging and real-time diagnosis of tissue samples. …”
Get full text

Zootecnia de precisão: análise de imagens no estudo do comportamento de frangos de corte em estresse térmico Precision animal production: image analysis to study broiler's behavior... by Kelly B. Sevegnani, Ivan W. Caror, Heliton Pandorfi, Iran J. O. da Silva, Daniella J. de Moura

Get full text

SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion by Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo

“…Fusing infrared images with visible images facilitates obtaining more abundant and accurate information content. …”
Get full text

Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…This narrative review synthesizes the evolving applications of AI in PBTs, focusing on early tumor detection, imaging analysis, therapy response prediction, and histological classification. …”
Get full text

Dual-Branch Luminance–Chrominance Attention Network for Hydraulic Concrete Image Enhancement by Zhangjun Peng, Li Li, Chuanhao Chang, Rong Tang, Guoqiang Zheng, Mingfei Wan, Juanping Jiang, Shuai Zhou, Zhenggang Tian, Zhigui Liu

“…Hydraulic concrete is a critical infrastructure material, with its surface condition playing a vital role in quality assessments for water conservancy and hydropower projects. However, images taken in complex hydraulic environments often suffer from degraded quality due to low lighting, shadows, and noise, making it difficult to distinguish defects from the background and thereby hindering accurate defect detection and damage evaluation. …”
Get full text

Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN by Nivea Kesav, M.G. Jibukumar

“…Here we aim to decrease the execution time of a conventional RCNN architecture with the use of a low complex framework and propose a system for brain tumor analysis. …”
Get full text

Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

“…The efficiency of the proposed scheme is validated through key sensitivity, key space analysis, complexity analysis, entropy assessment, and tests, including horizontal, vertical, and diagonal correlation, MSE, PSNR, UACI, and NPCR. …”
Get full text

Automated compilation of Urdu poetry handwritten image datasets for optical character recognition by Irtaza Ijaz, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi, Junaid Shuja, Mohammad Ali Humayun

“…Corresponding Unicode text for each image are obtained by web scraping followed by text similarity analysis. …”
Get full text

Utilizing Detectron2 for accurate and efficient colon cancer detection in histopathological images by Luxi Chen, Jie Shen, Xinyu Li, Rongzhou Li, Xiaoyun Gao, Xiaoyun Gao, Xinyue Chen, Xinyue Chen, Xiaotian Pan, Xiaotian Pan, Xiaosheng Jin

“…Recent advances in deep learning have shown promise in medical image analysis, offering potential improvements in detection accuracy and efficiency.MethodsThis study proposes a novel approach for classifying colon tissue images as normal or cancerous using Detectron2, a deep learning framework known for its superior object detection and segmentation capabilities. …”
Get full text

Major histocompatibility complex I upregulation in clear cell renal cell carcinoma is associated with increased survival by Rishi R. Sekar, Claire M. De La Calle, Dattatraya Patil, Sarah A. Holzman, Yoram Baum, Umer Sheikh, Jonathan H. Huang, Adeboye O. Osunkoya, Brian P. Pollack, Haydn T. Kissick, Kenneth Ogan, Viraj A. Master

“…Immunohistochemical staining for MHCI was performed on tumor specimens and MHCI expression was quantified with an automated image analysis technique. Patients were divided into high and low MHCI expression groups in order to study the relationship between MHCI expression and prognosis using the Kaplan–Meier method and log-rank test. …”
Get full text

Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…The two peer approaches are compared in speed, scan depth range, complexity, spectral regions of operation, and methods of detection. …”
Get full text