The power of deep learning for intelligent tumor classification systems: A review
A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …
the human body. Early detection of this abnormality not only helps with appropriate …
Single and combined neuroimaging techniques for Alzheimer's disease detection
Alzheimer's disease (AD) consists of the gradual process of decreasing volume and quality
of neuron connection in the brain, which consists of gradual synaptic integrity and loss of …
of neuron connection in the brain, which consists of gradual synaptic integrity and loss of …
Artificial Immune Cell, AI‐cell, a New Tool to Predict Interferon Production by Peripheral Blood Monocytes in Response to Nucleic Acid Nanoparticles
Nucleic acid nanoparticles, or NANPs, rationally designed to communicate with the human
immune system, can offer innovative therapeutic strategies to overcome the limitations of …
immune system, can offer innovative therapeutic strategies to overcome the limitations of …
OViTAD: Optimized vision transformer to predict various stages of Alzheimer's disease using resting-state fMRI and structural MRI data
Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
Artificial Intelligence for Routine Heritage Monitoring and Sustainable Planning of the Conservation of Historic Districts: A Case Study on Fujian Earthen Houses …
With its advancements in relation to computer science, artificial intelligence has great
potential for protecting and researching the world heritage Fujian earthen houses (Tulou) …
potential for protecting and researching the world heritage Fujian earthen houses (Tulou) …
Deep learning based resource availability prediction for local mobile crowd computing
Mobile crowd computing (MCC) that utilizes public-owned (crowd's) smart mobile devices
(SMDs) collectively can give adequate computing power without any additional financial and …
(SMDs) collectively can give adequate computing power without any additional financial and …
[PDF][PDF] The Alzheimer's Disease Neuroimaging Initiative OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer's Disease Using Resting-State …
Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
Formulating A Strategic Plan Based On Statistical Analyses And Applications For Financial Companies Through A Real-World Use Case
S Sarraf - arxiv preprint arxiv:2307.04778, 2023 - arxiv.org
Business statistics play a crucial role in implementing a data-driven strategic plan at the
enterprise level to employ various analytics where the outcomes of such a plan enable an …
enterprise level to employ various analytics where the outcomes of such a plan enable an …
ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study
A Sarraf, A Abbaspour - arxiv preprint arxiv:2312.03723, 2023 - arxiv.org
The pursuit of article or text summarization has captured the attention of natural language
processing (NLP) practitioners, presenting itself as a formidable challenge. ChatGPT 3.5 …
processing (NLP) practitioners, presenting itself as a formidable challenge. ChatGPT 3.5 …
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
Characterizing the anatomical structure and connectivity between cortical regions is a critical
step towards understanding the information processing properties of the brain and will help …
step towards understanding the information processing properties of the brain and will help …