Results 101 to 110 of about 297,664 (309)
CNN-based left ventricle segmentation results.
, 2023 This figure shows the traced outline of various segmentations within coronal slices of the inputs for the two CNNs. We have included both the diastolic and systolic phases to illustrate the performance across different phases of the heart.
Alex J. Allphin (17102503) +8 more
core +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
Advanced Science, EarlyView.A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Journal of Applied Informatics and ComputingConvolutional Neural Networks (CNN) are recognized for their high accuracy in image classification, but large-scale datasets and significant computer resources are needed to train them from scratch, though.
Habi Jiyan Mustaqim, Ozzi Suria
doaj +1 more source
Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Journal of Applied Informatics and ComputingEarly detection of breast cancer is crucial for improving patient survival rates. This study implements a Convolutional Neural Network (CNN) architecture based on ResNet18 using a transfer learning approach to classify breast ultrasound (USG) images into
Hagia Sofia Siden +1 more
doaj +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Ciencia e Ingeniería, 2021 En esta investigación se crearon diferentes modelos de Redes Neuronales Convolucionales variando los parámetros de filtro y épocas con la finalidad de mejorar el aprendizaje sobre las distintas clases del conjunto de imágenes. Así mismo, se subdividió el
Roberto Porto Solano +3 more
doaj
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection. Different from the traditional regression based methods, the Grid R-CNN captures the spatial information explicitly and enjoys the position sensitive property of fully convolutional architecture ...
Xin Lu 0002 +4 more
openaire +2 more sources
Subtractor-Based CNN Inference Accelerator
, 2022 This paper presents a novel method to boost the performance of CNN inference accelerators utilizing subtractors. The proposed CNN preprocessing accelerator relies on sorting, grouping, and rounding the weights in order to create combinations that allow ...
Gao, Xiaohang
core