Results 51 to 60 of about 101,085 (211)

Slice‐Wise Quality Assessment of High b Value Breast DWI via Deep Learning‐Based Artifact Detection

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Diffusion‐weighted imaging (DWI) can support lesion detection and characterization in breast MRI. Therefore, DWI is increasingly being incorporated into breast MRI protocols to address some of the shortcomings of routine clinical breast MRI.
Ameya Markale, Luise Brock, Ihor Horishnyi, Dominika Skwierawska, Tri‐Thien Nguyen, Dominique Hadler, Hannes Schreiter, Shirin Heidarikahkesh, Lorenz A. Kapsner, Michael Uder, Sabine Ohlmeyer, Frederik B. Laun, Andrzej Liebert, Sebastian Bickelhaupt   +13 more
wiley   +1 more source

Demineralized bone allograft fibers versus particulate in sinus augmentation: A double‐arm randomized controlled and histomorphometric study

Journal of Periodontology, EarlyView.
Abstract Background The primary aim of this study was to evaluate histologic wound healing of demineralized freeze‐dried bone allograft (DFDBA), in particulate (P) or fiber (F) form, in combination with deproteinized bovine bone mineral (DBBM) for maxillary sinus floor augmentation.
Kathryn Gabel, Brian L. Mealey, Michael Mills, Archontia A. Palaiologou   +3 more
wiley   +1 more source

New Quality Metric for Compressed Images

Anbar Journal of Engineering Sciences, 2020
This paper proposes a new quality-assessment metric for compressed images based on error magnitude, error location, and error distribution. The proposed MLD metric was applied to JPEG and other compression techniques and showed stronger correlation with ...
Fatimah Abdulsattar, Maath Mahammad, Dhafer Zaghar   +2 more
doaj  

Precision agriculture for water saving: The case of processing tomato and table grape

PLANTS, PEOPLE, PLANET, EarlyView.
Agriculture faces increasing pressure to produce high‐quality food while reducing water use under intensifying climate change and water scarcity. This study compared sensor‐based precision irrigation, drone monitoring, and near‐infrared spectroscopy with conventional farmer management in table grape and processing tomato production systems.
Giuseppe Ferrara, Alessandro Pesole, Rita De Marco, Sara Bisceglie, Giovanni Popeo, Simone Pascuzzi, Luigi Tedone   +6 more
wiley   +1 more source

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Steganalysis of JPEG images using non-linear residuals

Tongxin xuebao, 2023
Most current JPEG steganalytic methods can only extract features from a series of linear residuals.Non-linear filters are not considered in these JPEG steganalytic methods, resulting in single types of residuals.Hence, a JPEG steganalytic method using ...
Chao XIA, Yaqi LIU, Qingxiao GUAN, Xin JIN, Yanshuo ZHANG, Shengwei XU   +5 more
doaj   +2 more sources

Agreement of Multimodal Large Language Models and Novice Readers With Expert-Based Radiographic Scoring of Presumptive Septic Carpal Arthritis in Calves. [PDF]

Vet Radiol Ultrasound
ABSTRACT Septic arthritis is an important cause of morbidity in calves, and radiographic interpretation may vary between observers, especially when structured scoring systems are used by less experienced readers. This single‐center retrospective reader study evaluated whether general‐purpose multimodal large language models (LLMs) could support rubric ...
Bedir AG, Modoğlu E, Kartal T, Kibar B, Gökhan Şenocak M, Orhun ÖT, Turgut F, Ersöz U, Kocaman Y, Akçora Y, Okur S, Yanmaz LE.   +11 more
europepmc   +2 more sources

Exact JPEG recompression [PDF]

SPIE Proceedings, 2010
We present a variant of the JPEG baseline image compression algorithm optimized for images that were generated by a JPEG decompressor. It inverts the computational steps of one particular JPEG decompressor implementation (Independent JPEG Group, IJG), and uses interval arithmetic and an iterative process to infer the possible values of intermediate ...
Andrew Lewis, Markus G. Kuhn
openaire   +2 more sources

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Модифікація алгоритму стиснення JPEG [PDF]

, 2022
Для стандартного алгоритму JPEG з постійною таблицею Хаффмана побудована модифікація JPEG-Mod. Вона має таку ж трудомісткість, але дає виграш в стисненні до 20%.A modification of JPEG-Mod is built for the standard JPEG algorithm with a Huffman constant ...
Гармаш, В. В., Волошина, А. О., Бевз, О. М.   +2 more
core   +1 more source