The process of annotating histological gigapixel-sized whole slide image...
We introduce Wuerstchen, a novel technique for text-to-image synthesis t...
Attention-based multiple instance learning (AMIL) algorithms have proven...
Nucleolar organizer regions (NORs) are parts of the DNA that are involve...
Mitotic activity is key for the assessment of malignancy in many tumors....
Conditional text-to-image generation has seen countless recent improveme...
Assessing the Mitotic Count has a known high degree of intra- and inter-...
Modern, state-of-the-art deep learning approaches yield human like
perfo...
For histopathological tumor assessment, the count of mitotic figures per...
Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndro...
Squamous Cell Carcinoma (SCC) is the most common cancer type of the
epit...
Manual counts of mitotic figures, which are determined in the tumor regi...
Most tumor grading systems for human as for veterinary histopathology ar...
Histopathological prognostication of neoplasia including most tumor grad...
Reduction of unwanted environmental noises is an important feature of to...
Large-scale image data such as digital whole-slide histology images pose...
Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowi...
Identification and counting of cells and mitotic figures is a standard t...
Deep learning technologies such as convolutional neural networks (CNN)
p...
Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the or...