Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Narinder Singh Punn"'
Autor:
Narinder Singh Punn, Sonali Agarwal
Publikováno v:
Machine Learning. 111:4585-4600
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
Publikováno v:
Neural Information Processing ISBN: 9783031301100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34acef93041b8a3a076bdeea986b76fd
https://doi.org/10.1007/978-3-031-30111-7_54
https://doi.org/10.1007/978-3-031-30111-7_54
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819916474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f27737ed23235f0ae09d6896611066ed
https://doi.org/10.1007/978-981-99-1648-1_17
https://doi.org/10.1007/978-981-99-1648-1_17
Publikováno v:
The International Conference on Evaluation and Assessment in Software Engineering 2022.
Autor:
Narinder Singh Punn, Sonali Agarwal
Publikováno v:
Neural processing letters. 54(5)
The pandemic of novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also known as COVID-19 has been spreading worldwide, causing rampant loss of lives. Medical imaging such as computed tomography (CT), X-ray, etc., plays a significant
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation
Autor:
Narinder Singh Punn, Sonali Agarwal
Publikováno v:
Multimedia Tools and Applications. 80:30305-30320
With deep learning playing a crucial role in biomedical image segmentation, multi-modality fusion-based techniques have gained rapid growth. For any radiologist, identification and segmentation of brain tumor (gliomas) via multi-sequence 3D volumetri
Autor:
Narinder Singh Punn, Sonali Agarwal
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-15
With the increasing applications of deep learning in biomedical image analysis, in this article we introduce an inception U-Net architecture for automating nuclei detection in microscopy cell images of varying size and modality to help unlock faster
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811908392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9c7152511fbd6381772c9f13de518aa
https://doi.org/10.1007/978-981-19-0840-8_23
https://doi.org/10.1007/978-981-19-0840-8_23
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
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
Autor:
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, M. Syafrullah, Krisna Adiyarta
Publikováno v:
2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).
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