[HTML][HTML] Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection
This study presents a comprehensive review of the potential of multimodal deep learning
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
This study presents a comprehensive review of the potential of multimodal deep learning
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …
MuTCELM: An optimal multi-TextCNN-based ensemble learning for text classification
Feature extraction plays a critical role in text classification, as it converts textual data into
numerical representations suitable for machine learning models. A key challenge lies in …
numerical representations suitable for machine learning models. A key challenge lies in …
Arabic Short Text Analytics using Multivariate Filter Methods and ProdLDA Model
E Qais, MN Veena - 2024 Second International Conference on …, 2024 - ieeexplore.ieee.org
Research in the domain of Arabic short text analytics remains constrained. Although there
have been several research conducted on other languages, there is still a lack of …
have been several research conducted on other languages, there is still a lack of …
A Novel CAD Framework with Visual and Textual Interpretability: Multimodal Insights for Predicting Respiratory Diseases
Generating textual interpretability using recent advancements in large language models
(LLMs) is crucial for enhancing the efficiency of comprehensive computer-aided diagnosis …
(LLMs) is crucial for enhancing the efficiency of comprehensive computer-aided diagnosis …