… It thus requires many annotations of normal and abnormal cervical cells, to … synthesize
cytopathological images of various cervical cell types for augmenting patch-level cell classification…

… image classification as an example. The studies’ findings demonstrated that cytological
image classification … A cytological image is a microscopic image of individual cells or cell …

… to produce reference annotation for cell segmentation, classification, detection or tracking. …
Masks' labels can be easily mapped to cell classes and serve in per-cell classifications tasks…

… cal image classification. For example, in [1], [9], the size, shape, and the texture of cells and
… Some researchers further try to use spatially related structures within cells [3], [5], [10] or the …

Tumor-infiltrating lymphocytes (TILs) act as immune cells … -quality synthetic pathology images
followed by classification of TIL … Our TilGAN-generated images achieved a higher Inception …

… Kaur, T.; Gandhi, TK Automated brain image classification based on VGG-16 and transfer
learning. In Proceedings of the 2019 International Conference on Information Technology (ICIT)…

… current image generation benchmarks through neural cellular automata, demonstrated on
challenging multi-label OCT classification… network for medical image classification. In: Medical …

… are realistic and have identical biological characteristics (eg, enlarged cell, high cellular …
To highlight the efficacy of our adversarial image synthesis, we compare the classification …

… are being applied to biological images and are transforming the … deep learning and cellular
image analysis and provide an … key applications: image classification, image segmentation, …

… system, we show classification of white blood T-cells against colon cancer cells, as well
as … of these images in a set of 16 features for each cell, and performed classification in the …