A scoping review on multimodal deep learning in biomedical images and texts

Z Sun, M Lin, Q Zhu, Q Xie, F Wang, Z Lu… - Journal of Biomedical …, 2023 - Elsevier
Objective Computer-assisted diagnostic and prognostic systems of the future should be
capable of simultaneously processing multimodal data. Multimodal deep learning (MDL) …

Advancing medical imaging with language models: featuring a spotlight on ChatGPT

M Hu, JY Qian, S Pan, Y Li, RLJ Qiu… - Physics in Medicine and …, 2024 - iopscience.iop.org
This review paper aims to serve as a comprehensive guide and instructional resource for
researchers seeking to effectively implement language models in medical imaging research …

An effective med-VQA method using a transformer with weights fusion of multiple fine-tuned models

S Al-Hadhrami, MEB Menai, S Al-Ahmadi… - Applied Sciences, 2023 - mdpi.com
Visual question answering (VQA) is a task that generates or predicts an answer to a
question in human language about visual images. VQA is an active field combining two AI …

A Critical Analysis of Benchmarks, Techniques, and Models in Medical Visual Question Answering

S Al-Hadhrami, MEB Menai, S Al-Ahmadi… - IEEE …, 2023 - ieeexplore.ieee.org
This paper comprehensively reviews medical VQA models, structures, and datasets,
focusing on combining vision and language. Over 75 models and their statistical and SWOT …

Mammogram Tumor Segmentation with Preserved Local Resolution: An Explainable AI System

A Farrag, G Gad, ZM Fadlullah… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Medical image segmentation is a crucial component of computer-aided diagnosis (CAD)
systems, as it aids in identifying important areas in medical images. In order to achieve …

[PDF][PDF] Deep Neural Networks for Biomedical Question Answering

D Pappas - 2023 - nlp.cs.aueb.gr
In this thesis, we advance biomedical Question Answering (QA). The first part of the thesis
focuses on retrieving abstracts of scientific literature given a natural language question …