One label is all you need: Interpretable AI-enhanced histopathology for oncology

TE Tavolara, Z Su, MN Gurcan, MKK Niazi - Seminars in Cancer Biology, 2023 - Elsevier
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to
benefit oncology through interpretable methods that require only one overall label per …

Harnessing artificial intelligence for prostate cancer management

L Zhu, J Pan, W Mou, L Deng, Y Zhu, Y Wang… - Cell Reports …, 2024 - cell.com
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology

P Neidlinger, OSM El Nahhas, HS Muti, T Lenz… - arXiv preprint arXiv …, 2024 - arxiv.org
Advancements in artificial intelligence have driven the development of numerous pathology
foundation models capable of extracting clinically relevant information. However, there is …

SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images

P Mukashyaka, TB Sheridan, JH Chuang - EBioMedicine, 2024 - thelancet.com
Background Deep learning has revolutionized digital pathology, allowing automatic analysis
of hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse tasks. WSIs …

[PDF][PDF] A good feature extractor is all you need for weakly supervised learning in histopathology

G Wölflein, D Ferber, AR Meneghetti, OSM El Nahhas… - training, 2023 - researchgate.net
Deep learning is revolutionising pathology, offering novel opportunities in disease prognosis
and personalised treatment. Historically, stain normalisation has been a crucial …

[HTML][HTML] Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification

S Kabir, R Sarmun, E Ramírez-Velázquez… - Computers in Biology …, 2025 - Elsevier
Abstract Introduction Posterior Urethral Valves (PUV) are rare congenital anomalies of the
male urinary tract that can lead to urethral obstruction and increased risk of kidney disease …

EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis

S Li, Z Diao - arXiv preprint arXiv:2409.11817, 2024 - arxiv.org
The recent development of deep learning large models in medicine shows remarkable
performance in medical image analysis and diagnosis, but their large number of parameters …

[HTML][HTML] SAMPLER: Empirical distribution representations for rapid analysis of whole slide tissue images

P Mukashyaka, TB Sheridan, JH Chuang - bioRxiv, 2023 - ncbi.nlm.nih.gov
Deep learning has revolutionized digital pathology, allowing for automatic analysis of
hematoxylin and eosin (H&E) stained whole slide images (WSIs) for diverse tasks. In such …

Efficient grading of prostate cancer WSI with deep learning

R Bhattacharyya, P Roy, S Banerji… - Medical Imaging 2024 …, 2024 - spiedigitallibrary.org
The field of histopathology, which involves visual examination of tissue samples at a
microscopic scale, is very important for the diagnosis of cancer. Although this task is …