Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Lithium-ion battery health management has become increasingly important as the application of batt...
Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term o...
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels aims to achieve pixel-level...
Background: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whol...
Histopathology slide digitization introduces scanner-induced domain shift that can significantly i...
The diffusion model has demonstrated superior performance in synthesizing diverse and high-quality...
With the rapid advancement of pathology foundation models (FMs), the representation learning of wh...
This study explores open questions in the application of machine learning for breast cancer detect...
We propose a training-free method for open-vocabulary semantic segmentation using Vision-and-Langu...
Prior work using Masked Autoencoders (MAEs) typically relies on random patch masking based on the ...
Histomorphology is crucial in breast cancer diagnosis. However, existing whole slide image (WSI) c...
Breast cancer survival prediction in computational pathology presents a remarkable challenge due t...
In this paper, we address the challenge of few-shot classification in histopathology whole slide i...
The CLIP model has demonstrated significant advancements in aligning visual and language modalitie...
We consider a patch-based learning approach defined in terms of neural networks to estimate spatia...
The primary requirement for cross-modal data fusion is the precise alignment of data from differen...
During the compression, transmission, and rendering of point clouds, various artifacts are introdu...
Existing image inpainting methods have shown impressive completion results for low-resolution imag...
Recently, patch-deformation methods have exhibited significant effectiveness in multi-view stereo ...
Zero-shot learning holds tremendous potential for histopathology image analysis by enabling models...
Virtual stain transfer leverages computer-assisted technology to transform the histochemical stain...