Dosiomic predictors of biochemical failure in patients with localized prostate cancer treated with Iodine-125 low-dose-rate brachytherapy by Masahiro Nakano, Shizuo Kaji, Shogo Kawakami, Hideyasu Tsumura, Toshikazu Imae, Yuichi Tanaka, Kyohei Fujii, Takuro Kainuma, Ryosuke Yamazaki, Ayaka Uchida, Hijiri Kaneko, Mako Fujino, Chizu Hata, Yu Murakami, Masatoshi Hashimoto, Hiromichi Ishiyama

“…The patients were divided into two cohorts: derivation and validation. Dose distribution images (DDs) were calculated from computed tomography (CT) images taken one month after implantation. …”
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Target detection of helicopter electric power inspection based on the feature embedding convolution model. by Dakun Liu, Wei Zhou, Linzhen Zhou, Wen Guan

“…Second, an improved FEC model is proposed, extracting features from aerial images in large ranges in real time and accurately identifying and classifying electric power inspection targets. …”
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Innovative computer vision methods for tomato (Solanum Lycopersicon) detection and cultivation: a review by L. Moldvai, A. Nyéki

“…The primary objective of this article was to present a thorough analysis of the image processing algorithms utilized in research over the past two years, along with their outcomes.…”
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H-Alpha anomalyzer: An anomaly detector for H-Alpha solar observations using a grid-based approach by Mahsa Khazaei, Heba Mahdi, Kartik Chaurasiya, Azim Ahmadzadeh

“…On a modest laptop computer, this lightweight package processes ten 2k-by-2k-pixel images per second, which is significantly faster than its DNN-based counterparts.…”
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Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud by Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Ayad M. Fadhil Al-Quraishi, Joseph Omeiza Alao, Hussein Almohamad, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

“…The study was conducted to develop an effective approach to predict Forest Above-Ground Biomass (AGB) using Machine Learning, Image Classification, and GEE open-source fast processing system in the Similipal Tiger Reserve (STR), India. …”
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Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts by Z. Wang, J. Yuan

“…In this work, based on hourly infrared brightness temperature (BT) satellite images, with a novel variable-BT tracking algorithm, complex convective organizations are partitioned into organization segments of single cold-core structures as tracking targets. …”
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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

“…The limited availability of training samples presents a major challenge in using remote sensing images for large-scale winter wheat mapping. Currently, several countries have published long-term land-cover products that offer dependable accuracy and comprehensive spatial distribution information of crops. …”
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Conceptual Validation of High-Precision Fish Feeding Behavior Recognition Using Semantic Segmentation and Real-Time Temporal Variance Analysis for Aquaculture by Han Kong, Junfeng Wu, Xuelan Liang, Yongzhi Xie, Boyu Qu, Hong Yu

“…In this method, we first accurately segment fish targets in the images using a semantic segmentation model. Then, these segmented images are input into our proposed fish feeding behavior recognition model. …”
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…These methodologies contributed substantial net benefits to clinical decision-making processes. A novel interpretable DL model and nomogram were developed and validated using EUS images, cooperating with machine learning algorithms. …”
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Deep Learned Feature Technique for Human Action Recognition in the Military using Neural Network Classifier by Adeola O Kolawole, Martins E Irhebhude, Philip O Odion

“…The dataset used was captured locally during military trainees’ obstacle-crossing exercises at a military training institution to achieve the objective. Images were segmented into background and foreground using a Grabcut-based segmentation algorithm. …”
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Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

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Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees by Oumaima Ameslek, Hafida Zahir, Hanane Latifi, El Mostafa Bachaoui

“…However, this task is not as simple as it seems; tree detection and counting can be time consuming, cost-prohibitive and accuracy-limited, especially if performed manually on a large scale.The availability of very high-resolution UAV imagery with remote sensing can make the counting process easier, faster and more precise. With the development of technology, this process can be made more automated by using intelligent algorithms such as CNN.This work presents an OBIA-CNN (Object Based Image Analysis-Convolution Neural Network) approach that combines CNNs with OBIA to automatically detect and count olive trees from Phantom4 advanced drone imagery. …”
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A novel feature fusion model to mimic photographers’ active observation for scenery recomposition toward physical education by Dongyang Tang, Shang Wang

“…We introduce a strategy called Locality-preserved and Observer-like Active Learning (LOAL) that constructs gaze shift paths (GSP) incrementally, allowing user interaction in the feature selection process. The GSPs are processed through a multi-layer aggregating algorithm, producing deep feature representations encoded into a Gaussian mixture model (GMM), which underpins our image retargeting approach. …”
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Model Characteristics as a Means of Knowledge in Humanitarian Field by A. V. Kashcheyeva

“…The questions are raised about the relationship between the categories of model, prototype and image in the process of reflection of reality. The relationship between a model and material and non-material types of prototype are examined. …”
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Optical-electronic correlation-extreme navigation system of small unmanned aerial vehicle by A. A. Sheinikov, V. A. Malkin, E. A. Smolensky, L. A. Ivanitsky

“…The proposed navigation system is characterized by the use of a small-sized and affordable digital camera and computer, which is critical for small military unmanned aerial vehicles. The developed algorithmic support for the system is distinguished by the use of algorithms for reconstructing a three-dimensional digital terrain model using optical digital images from an on-board digital camera, as well as algorithms for correlation processing of current and reference models, which ensures the possibility of accurate autonomous air navigation using view information. …”
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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…Throughput in applications with real-time signals is improved. It is also used in image and video processing and is critical for algorithms that manipulate pixels, scale, and compress data when many multiplications need to be performed quickly. …”
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An overview of iterative methods based on orthogonal projections by Touraj Nikazad, Mona Khakzad

“…This paper investigates the linear feasibility problem (LFP), which plays a fundamental role in image reconstruction, especially in applications such as computed tomography and signal processing. …”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application by Roman Rodriguez-Aguilar, Jose-Antonio Marmolejo-Saucedo, Utku Köse

“…Among the various types of medical images, magnetic resonance imaging (MRI) is frequently utilized in deep learning applications to analyze detailed structures and organs in the body, using advanced intelligent software. …”
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Investigating the Triple Code Model in numerical cognition using stereotactic electroencephalography. by Alexander P Rockhill, Hao Tan, Christian G Lopez Ramos, Caleb Nerison, Beck Shafie, Maryam N Shahin, Adeline Fecker, Mostafa Ismail, Daniel R Cleary, Kelly L Collins, Ahmed M Raslan

“…While our contemporary understanding of human number cognition has benefited greatly from advances in clinical imaging, limited studies have investigated the intracranial electrophysiological correlates of number processing. …”
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A Low-Cost Portable SDIMM for Daytime Atmospheric Optical Turbulence Measurement in Observatory Site Testing: Primary Results from Ali Site by Jingxing Wang, Jing Feng, Xuan Qian, Yongqiang Yao, Mingyu Zhao, Kaifeng Kang, Tengfei Song

“…To address the demands of multi-site surveys, we developed a low-cost, portable SDIMM system that directly adopts the DIMM optical path without backend wavefront reconstruction, instead deriving <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>r</mi><mn>0</mn></msub></semantics></math></inline-formula> through image processing algorithms. Integrated with a 20 cm aperture telescope, the system achieves a total weight of <20 kg, significantly enhancing field portability. …”
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