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Active Image Data Augmentation
2019Deep neural networks models have achieved state-of-the-art results in a great number of different tasks in different domains (e.g., natural language processing and computer vision). However, the notions of robustness, causality, and fairness are not measured in traditional evaluated settings. In this work, we proposed an active data augmentation method
Flávio Arthur Oliveira Santos +3 more
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Breast Imaging and the Augmented Breast
Plastic Surgical Nursing, 1992Women with augmented breast implants are presenting for mammograms in greater numbers over the past year due to recent publicity regarding the safety of silicone gel-filled implants. New issues are being raised in light of this recent increase, making it essential for patients and health care providers to understand the limitations of mammography and ...
B D, Kruse, A J, Leibman, L, McCain
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Improving Orange and Lemon Object Detection Using YOLOv5 and Image Augmentation
2023 10th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA), 2023One of the crucial techniques that can be used to augment the dataset at the pre-processing stage is augmentation techniques. Widely used augmentation techniques are the transformation of the original image, change of scale variation, rotation, setting ...
Fiddin Yusfida A'la +2 more
semanticscholar +1 more source
GAN based image augmentation for increased CNN performance in Paddy leaf disease classification
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022A variety of fungal and bacterial leaf ailments wreak havoc on the paddy plant in the agricultural field. Early diagnosis of leaf infection can improve the yield of the crop.
Shweta Lamba +2 more
semanticscholar +1 more source
Augmenting Osteoporosis Imaging with Machine Learning
Current Osteoporosis Reports, 2021In this paper, we discuss how recent advancements in image processing and machine learning (ML) are shaping a new and exciting era for the osteoporosis imaging field. With this paper, we want to give the reader a basic exposure to the ML concepts that are necessary to build effective solutions for image processing and interpretation, while presenting ...
Valentina, Pedoia +4 more
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Augmented reality for breast imaging
Minerva Surgery, 2018Augmented reality (AR) enables the superimposition of virtual reality reconstructions onto clinical images of a real patient, in real time. This allows visualization of internal structures through overlying tissues, thereby providing a virtual transparency vision of surgical anatomy.
Alberto, Rancati +6 more
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MR imaging of the augmented breast
European Radiology, 1998Mammographic evaluation of the augmented breast is challenging, since breast implants obscure significant amount of breast tissue while diminishing the effect of compression. Posttherapeutic scarring can make mammographic interpretation even more difficult. MRI has thus evolved into the modality of choice for diagnosing implant complications as well as
Huch RA +4 more
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Image Augmentation Agent for Weakly Supervised Semantic Segmentation
NeurocomputingWeakly-supervised semantic segmentation (WSSS) has achieved remarkable progress using only image-level labels. However, most existing WSSS methods focus on designing new network structures and loss functions to generate more accurate dense labels ...
Wangyu Wu +6 more
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Synchronous Medical Image Augmentation framework for deep learning-based image segmentation
Comput. Medical Imaging Graph., 2022Various deep learning (DL) models are widely applied in medical image analysis, and their performance depends on the scale and diversity of available training data.
Jianguo Chen +4 more
semanticscholar +1 more source
Road Pothole Detection Using YOLOv8 with Image Augmentation
Journal of Image and Graphics—Potholes are considered a vital danger to road safety. This study is going to use a novel method realized in the YOLOv8 (You Only Look Once version 8) object detection algorithm library, a well-cutting-edge algorithm, to mark the potholes in road images.
Ken Gorro +3 more
semanticscholar +1 more source