[HTML][HTML] An Explainable CNN and Vision Transformer-Based Approach for Real-Time Food Recognition
Background: Food image recognition, a crucial step in computational gastronomy, has
diverse applications across nutritional platforms. Convolutional neural networks (CNNs) are …
diverse applications across nutritional platforms. Convolutional neural networks (CNNs) are …
[HTML][HTML] MSR-UNet: enhancing multi-scale and long-range dependencies in medical image segmentation
S Wang, L Liu, J Wang, X Peng, B Liu - PeerJ Computer Science, 2024 - peerj.com
Transformer-based technology has attracted widespread attention in medical image
segmentation. Due to the diversity of organs, effective modelling of multi-scale information …
segmentation. Due to the diversity of organs, effective modelling of multi-scale information …
PEDSA: High-Throughput Pipeline-Based FPGA Accelerator for Convolutional Encoder-Decoder Segmentation Networks
Y Jiang, Z Li, Z Zhang, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the era of artificial intelligence (AI), rapidly growing data and computing demands
stimulate a shift toward more intelligent processing at the edge in the Internet of Things (IoT) …
stimulate a shift toward more intelligent processing at the edge in the Internet of Things (IoT) …
Multiple instance learning: state-of-the-art in cancer analysis, applications & future potential
The digitalization of Whole Slide Images (WSIs) in histopathology facilitates the utilization of
deep learning (DL) techniques for pathology research and computer-aided diagnosis in …
deep learning (DL) techniques for pathology research and computer-aided diagnosis in …