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of 52
pro vyhledávání: '"Punn, Narinder Singh"'
Surveillance footage can catch a wide range of realistic anomalies. This research suggests using a weakly supervised strategy to avoid annotating anomalous segments in training videos, which is time consuming. In this approach only video level labels
Externí odkaz:
http://arxiv.org/abs/2206.01524
With healthcare being critical aspect, health insurance has become an important scheme in minimizing medical expenses. Following this, the healthcare industry has seen a significant increase in fraudulent activities owing to increased insurance, and
Externí odkaz:
http://arxiv.org/abs/2206.01413
Autor:
Punn, Narinder Singh, Agarwal, Sonali
Deep learning has brought the most profound contribution towards biomedical image segmentation to automate the process of delineation in medical imaging. To accomplish such task, the models are required to be trained using huge amount of annotated or
Externí odkaz:
http://arxiv.org/abs/2112.03916
Adversarial attacks against deep learning models have gained significant attention and recent works have proposed explanations for the existence of adversarial examples and techniques to defend the models against these attacks. Attention in computer
Externí odkaz:
http://arxiv.org/abs/2109.00936
Autor:
Praveen, Nalla, Punn, Narinder Singh, Sonbhadra, Sanjay Kumar, Agarwal, Sonali, Syafrullah, M., Adiyarta, Krisna
Machine learning has endless applications in the health care industry. White blood cell classification is one of the interesting and promising area of research. The classification of the white blood cells plays an important part in the medical diagno
Externí odkaz:
http://arxiv.org/abs/2108.04614
Autor:
Punn, Narinder Singh, Agarwal, Sonali
Publikováno v:
Machine Vision and Applications, Springer, 2022
The advancements in deep learning technologies have produced immense contributions to biomedical image analysis applications. With breast cancer being the common deadliest disease among women, early detection is the key means to improve survivability
Externí odkaz:
http://arxiv.org/abs/2108.02508
Brain tumor is the most common and deadliest disease that can be found in all age groups. Generally, MRI modality is adopted for identifying and diagnosing tumors by the radiologists. The correct identification of tumor regions and its type can aid t
Externí odkaz:
http://arxiv.org/abs/2107.12321
With the advancement in the technology sector spanning over every field, a huge influx of information is inevitable. Among all the opportunities that the advancements in the technology have brought, one of them is to propose efficient solutions for d
Externí odkaz:
http://arxiv.org/abs/2107.07500
Autor:
Punn, Narinder Singh, Agarwal, Sonali
Publikováno v:
Artificial Intelligence Review (2022)
With the advent of advancements in deep learning approaches, such as deep convolution neural network, residual neural network, adversarial network; U-Net architectures are most widely utilized in biomedical image segmentation to address the automatio
Externí odkaz:
http://arxiv.org/abs/2107.04537
With increasing popularity of social media platforms hate speech is emerging as a major concern, where it expresses abusive speech that targets specific group characteristics, such as gender, religion or ethnicity to spread violence. Earlier people u
Externí odkaz:
http://arxiv.org/abs/2106.15537