Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Ordinal regression bridges regression and classification by assigning objects to ordered classes. ...
Cancer survival prediction using multi-modal medical imaging presents a critical challenge in onco...
As Deep Neural Networks (DNNs) continue to require larger amounts of data and computational power,...
Multiple Instance Learning (MIL) has emerged as the best solution for Whole Slide Image (WSI) clas...
Recent advancements in large language models have demonstrated how chain-of-thought (CoT) and rein...
Proto-objects - image regions that share common visual properties - offer a promising alternative ...
Non-muscle-invasive bladder cancer (NMIBC) is a relentless challenge in oncology, with recurrence ...
Purpose: The scarcity of high-quality curated labeled medical training data remains one of the maj...
Graph Neural Networks (GNNs) have emerged as an efficient alternative to convolutional approaches ...
The hematology analytics used for detection and classification of small blood components is a sign...
Autoregressive patch-based image generation has recently shown competitive results in terms of ima...
Multimodal neuroimaging provides complementary structural and functional insights into both human ...
Multimodal aspect-based sentiment classification (MASC) is an emerging task due to an increase in ...
Near-infrared (NIR) face recognition systems, which can operate effectively in low-light condition...
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...
Recent studies have made significant progress in developing large language models (LLMs) in the me...
Background: Deep learning has significantly advanced medical image analysis, with Vision Transform...
Adversarial patches are widely used to evaluate the robustness of object detection systems in real...
Remote sensing images are widely utilized in many disciplines such as feature recognition and scen...
Online class-incremental learning aims to enable models to continuously adapt to new classes with ...
Autonomous fabrication systems are transforming construction and manufacturing, yet they remain vu...