Results 71 to 80 of about 79,319 (254)

Mask R-CNN ile Mikroskobik İdrar Görüntüsü İçeriklerinin Tespiti

Afyon Kocatepe University Journal of Sciences and Engineering, 2023
Mikroskobik idrar içerikleri doğru ve dikkatli bir şekilde analiz edildiğinde vücut hakkında önemli bilgiler verir. İdrar tahlilinin insan sağlığı için önemi nedeniyle mikroskobik idrar içeriklerinin tespit edilmesi amacıyla derin öğrenme görüntü işleme tekniği kullanılarak yapay zeka uygulamaları yapılmıştır.
Yunus Emre YÖRÜK, Hamdi Melih SARAOĞLU, Ömer Faruk ÖZER   +2 more
openaire   +2 more sources

Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network [PDF]

, 2018
In this paper we present a novel instance segmentation algorithm that extends a fully convolutional network to learn to label objects separately without prediction of regions of interest.
Earley, B., Keane, M., Kelleher, J. D., Ross, R. J., Ter-Sarkisov, A.   +4 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. [PDF]

, 2019
BackgroundLiver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization.
Bittencourt, Leornado Kayat, Brunsing, Ryan L, Cunha, Guilherme Moura, Delgado, Timo, Fowler, Katie J, Hasenstab, Kyle A, Higaki, Atsushi, Hsiao, Albert, Ichikawa, Shintaro, Schlein, Alexandra, Schwartzman, Armin, Sirlin, Claude B, Wang, Kang   +12 more
core  

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High‐Fidelity Communication in the BNST‐NAc Circuit

Advanced Science, EarlyView.
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv, Yu Cao, Yuhan Wang, Yunhao Wu, Yingying Zhang, Kuanghao Ye, Xian Qiu, Qingfang Sun, Liuguan Bian, Halimureti Paerhati, Valerie Voon, Shikun Zhan, Bomin Sun   +12 more
wiley   +1 more source

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

Advanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal, Yeong‐Her Wang, Sanjay Kumar, Themis Prodromakis   +3 more
wiley   +1 more source

Impact of Image Enhancement Using Contrast-Limited Adaptive Histogram Equalization (CLAHE), Anisotropic Diffusion, and Histogram Equalization on Spine X-Ray Segmentation with U-Net, Mask R-CNN, and Transfer Learning

Algorithms
Image segmentation is one of the important applications of deep learning models, such as U-Net and Mask R-CNN, in medical imaging. The image segmentation process enables automated extraction of important information within images, including spine X-rays,
Muhammad Shahrul Zaim Ahmad, Nor Azlina Ab. Aziz, Heng Siong Lim, Anith Khairunnisa Ghazali, ‘Afif Abdul Latiff   +4 more
doaj   +1 more source

Measurement of Railway Sleepers Spacing Using Mask R-CNN

2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022
Railway sleepers are key components that are critical to ensuring safety in the railway track system. Railway sleepers are designed to transfer the load from the rails to the ground during the rail and wheel interaction. This article presents a study to determine the spacing between sleepers.
Guclu, Emre, Aydin, Inhan, Akin, Erhan
openaire   +2 more sources

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source