Cytology Image

Cytology image analysis focuses on automating the diagnosis of diseases by analyzing microscopic images of cells, primarily for cancer detection. Current research emphasizes developing deep learning models, including convolutional neural networks (CNNs) and vision transformers, often incorporating techniques like few-shot learning and multiple instance learning to address data scarcity and improve classification accuracy, particularly in challenging scenarios like low-quality images or limited annotated data. These advancements hold significant promise for improving diagnostic speed and accuracy across various applications, from lung and cervical cancer screening to veterinary pathology, ultimately aiding clinicians and potentially reducing the burden on human experts.