Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradientâweighted class activation mapping based deep hybrid model
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22847
Abstract: Urinary system stone disease is a common disease group all over the world. Ureteral stones constitute 20% of all urinary system stones. Ureteral stones are important because they can cause hydronephrosis and related renal parenchymal… read more here.
Keywords: class activation; gradient weighted; hybrid model; hydronephrosis ... See more keywords
Category boundary re-decision by component labels to improve generation of class activation map
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.10.072
Abstract: Abstract Class Activation Maps (CAMs) can visualize the contribution of each pixel to a certain category and thus, can localize objects. However, in existing generation methods, CAMs are only highly responsive to small local features… read more here.
Keywords: component; generation; level; category boundary ... See more keywords
APPLICABILITY OF NOVEL, CLASS ACTIVATION MAPS (CAM) IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-GUIDED, SINGLE AND 12-LEAD ECG TO DETECT ST-ELEVATION MYOCARDIAL INFARCTION
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(20)34101-2
Abstract: Convolutional Neural Networks (CNN) are seamlessly integrated into many fields, including image recognition. CAM are able to recognize specific regions of images for their classification. We applied CAM and discovered discriminative segments for the detection… read more here.
Keywords: applicability novel; guided single; class activation; activation maps ... See more keywords
G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3241405
Abstract: Remote sensing images (RSIs) contain important information, such as airports, ports, and ships. By extracting RSI features and learning the mapping relationship between image features and text semantic features, the interpretation and description of RSI… read more here.
Keywords: network; remote sensing; reinforcement learning; class activation ... See more keywords
Artificial Intelligence Class Activation Mapping of Bone Age.
Sign Up to like & getrecommendations! Published in 2022 at "Radiology"
DOI: 10.1148/radiol.211790
Abstract: Online supplemental material is available for this article. read more here.
Keywords: bone age; class activation; intelligence class; artificial intelligence ... See more keywords
Lung Cancer Classification Using Squeeze and Excitation Convolutional Neural Networks with Grad Cam++ Class Activation Function
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380421
Abstract: The leading cause of cancer-related death globally has been identified as lung cancer. Early lung nodule detection is critical for lung cancer therapy and patient survival. The Gard Cam++ Class Activation Function is used with… read more here.
Keywords: classification; class activation; cam class; lung cancer ... See more keywords
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.48550/arxiv.2209.09104
Abstract: Graph convolutional neural network (GCN) has drawn increasing attention and attained good performance in various computer vision tasks, however, there lacks a clear interpretation of GCN's inner mechanism. For standard convolutional neural networks (CNNs), class… read more here.
Keywords: neural network; vertex semantic; class activation; activation mapping ... See more keywords