CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification
Alzheimer's disease (AD) is an incurable neurodegenerative condition leading to cognitive
and functional deterioration. Given the lack of a cure, prompt and precise AD diagnosis is …
and functional deterioration. Given the lack of a cure, prompt and precise AD diagnosis is …
Coarse-to-fine visual representation learning for medical images via class activation maps
BP Yap, BK Ng - Computers in Biology and Medicine, 2024 - Elsevier
The value of coarsely labeled datasets in learning transferable representations for medical
images is investigated in this work. Compared to fine labels which require meticulous effort …
images is investigated in this work. Compared to fine labels which require meticulous effort …
Pre-training on High Definition X-ray Images: An Experimental Study
Existing X-ray based pre-trained vision models are usually conducted on a relatively small-
scale dataset (less than 500k samples) with limited resolution (eg, 224$\times $224) …
scale dataset (less than 500k samples) with limited resolution (eg, 224$\times $224) …
ASIMSA: Advanced Semantic Information Guided Multi-Scale Alignment Framework for Medical Vision-Language Pretraining
S Xiao, Y Zhang, L Jiang, Z Wang - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
Medical Visual Language Pretraining (MVLP) utilizes textual reports for weak supervision to
improve the learning of medical visual representations, showing promise in various medical …
improve the learning of medical visual representations, showing promise in various medical …