Vision-language models for medical report generation and visual question answering: A review
I Hartsock, G Rasool - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Medical vision-language models (VLMs) combine computer vision (CV) and natural
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
Multimodal data integration for oncology in the era of deep neural networks: a review
Cancer research encompasses data across various scales, modalities, and resolutions, from
screening and diagnostic imaging to digitized histopathology slides to various types of …
screening and diagnostic imaging to digitized histopathology slides to various types of …
SeNMo: a self-normalizing deep learning model for enhanced multi-omics data analysis in oncology
A Waqas, A Tripathi, S Ahmed, A Mukund… - Cancer …, 2024 - aacrjournals.org
Multi-omics research has enhanced our understanding of cancer heterogeneity and
progression. Investigating molecular data through multi-omics approaches is crucial for …
progression. Investigating molecular data through multi-omics approaches is crucial for …
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes
Cancer clinics capture disease data at various scales, from genetic to organ level. Current
bioinformatic methods struggle to handle the heterogeneous nature of this data, especially …
bioinformatic methods struggle to handle the heterogeneous nature of this data, especially …
Digital pathology and multimodal learning on oncology data
A Waqas, J Naveed, W Shahnawaz… - BJR| Artificial …, 2024 - academic.oup.com
Cancer presents a complex tapestry of biological, clinical, and molecular characteristics that
collectively influence its diagnosis, progression, and treatment. This review paper delves …
collectively influence its diagnosis, progression, and treatment. This review paper delves …