Browsing by Subject "Digital pathology"
Now showing items 1-3 of 3
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A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
( Springer , 2023 , Other)Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ... -
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue
( PubMed Central , 2016 , Article)Background There have been great advancements in the field of digital pathology. The surge in development of analytical methods for such data makes it crucial to develop benchmark synthetic datasets for objectively ... -
Spatial mapping of cancer tissues by OMICS technologies
( Elsevier B.V. , 2022 , Article)Spatial mapping of heterogeneity in gene expression in cancer tissues can improve our understanding of cancers and help in the rapid detection of cancers with high accuracy and reliability. Significant advancements have ...