Advancements in Cancer Disease Prediction Using Modified Multi Model Deep Neural Networks
D Balakrishnan, U Mariappan… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
Cancer disease prediction is a critical task in healthcare that can significantly impact patient
outcomes. This abstract presents a multimodal deep neural network (DNN) approach for …
outcomes. This abstract presents a multimodal deep neural network (DNN) approach for …
Application of Artificial Intelligence in Oncology
Application of Artificial Intelligence in Oncology Application of Artificial Intelligence in
Oncology Semin Cancer Biol. 2023 Nov 15:S1044-579X(23)00144-X. doi: 10.1016/j.semcancer.2023.11.005 …
Oncology Semin Cancer Biol. 2023 Nov 15:S1044-579X(23)00144-X. doi: 10.1016/j.semcancer.2023.11.005 …
Generative Adversarial-Based Ubiquitous Data Integration Model for Human Re-Identification
M Shabaz, M Soni - Journal of Computational and Cognitive …, 2022 - ojs.bonviewpress.com
Person re-identification is a crucial field in computer vision with significant challenges,
including illumination, occlusion, pose variation, and feature variation in complex …
including illumination, occlusion, pose variation, and feature variation in complex …
Spectrum is a Picture: Feasibility Study of Two-Dimensional Convolutional Neural Networks in Spectral Processing
V Deev, V Panchuk, E Boichenko… - Available at SSRN … - papers.ssrn.com
In spectral data processing, a spectrum is usually represented in a form of numeric vector for
further processing. The same approach has been used also for spectral data treatment by …
further processing. The same approach has been used also for spectral data treatment by …
[PDF][PDF] Saharnaz Esmaeili
R Tavakoli, HH Seighalani, S Shahbazi, Z Rahimian… - academia.edu
The field of medicine has seen significant advancements in recent years, with the
emergence of novel technologies and tools that have revolutionized the way healthcare is …
emergence of novel technologies and tools that have revolutionized the way healthcare is …