This paper introduces a novel one-stage end-to-end detector specifically designed to detect
small lesions in medical images. Precise localization of small lesions presents challenges …

Stroke continues to be the second-leading cause of mortality globally. Over 700,000
Americans suffer from an ischemic stroke every year as a result of a blood clot clogging a …

Oncology is becoming increasingly personalised through advancements in precision in
diagnostics and therapeutics, with more and more data available on both ends to create …

Accurate image classification and retrieval are of importance for clinical diagnosis and
treatment decision-making. The recent contrastive language-image pre-training (CLIP) …

Cell detection in histopathology images is of great interest to clinical practice and research,
and convolutional neural networks (CNNs) have achieved remarkable cell detection results …

The microscopic diagnostic differentiation of odontogenic cysts from other cysts is intricate
and may cause perplexity for both clinicians and pathologists. Of particular interest is the …

Background and objective In many real-world scenarios, including the blood smear domain,
it is difficult for detection networks to achieve good performance because image annotation …

Abstract Analysis of bone marrow aspirates (BMA) is an essential step in the diagnosis of
hematological disorders. This analysis is usually performed based on visual examination of …

Our objective was to develop an automated deep-learning-based method to evaluate
cellularity in rat bone marrow hematoxylin and eosin whole slide images for preclinical …

Early-stage pediatric nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) can be
treated effectively with low-intensity chemotherapy, most frequently cyclophosphamide in …