Latest AI and machine learning research in pathology for healthcare professionals.
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-intere...
Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-...
Text-to-image (T2I) models face significant safety risks from adversarial induction, yet current con...
The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, med...
Clinical diagnosis of skin lesions integrates visual dermoscopic features with patient context such ...
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...
Consensus molecular subtyping (CMS) defines the transcriptomic taxonomy of colorectal cancer (CRC) a...
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...
Modern foundation models provide highly expressive visual representations, yet adapting them to high...
While Physics-Informed Neural Networks (PINNs) offer a mesh-free approach to solving PDEs, standard ...
Pathology underpins modern diagnosis and cancer care, yet its most valuable asset, the accumulated e...
The liver has a complex architecture composed of millions of lobules. Within these lobules, hepatocy...
Pathology foundation models learn morphological representations through self-supervised pretraining ...
Multiple instance learning (MIL) has enabled substantial progress in computational histopathology, w...
Purpose/Objective: Brain tumors result in 20 years of lost life on average. Standard therapies induc...
While Physics-Informed Neural Networks (PINNs) offer a mesh-free approach to solving PDEs, standard ...
Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disea...
Accurate tumor analysis is central to clinical radiology and precision oncology, where early detecti...
This paper investigates the challenging task of detecting backdoored text-to-image models under blac...
We introduce CRIMSON, a clinically grounded evaluation framework for chest X-ray report generation t...
Accurate detection of cancer tissue regions (CTR) enables deeper analysis of the tumor microenvironm...