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A survey on artificial intelligence in histopathology image analysis
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
Computational nuclei segmentation methods in digital pathology: a survey
Pathology is an important field in modern medicine. In particular, the step of nuclei
segmentation is an important step in cancer analysis, diagnosis, and grading because …
segmentation is an important step in cancer analysis, diagnosis, and grading because …
Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer …
The presence of lymphocytic infiltration (LI) has been correlated with nodal metastasis and
tumor recurrence in HER2+ breast cancer (BC). The ability to automatically detect and …
tumor recurrence in HER2+ breast cancer (BC). The ability to automatically detect and …
Efficient nucleus detector in histopathology images
JP Vink, MB Van Leeuwen… - Journal of …, 2013 - Wiley Online Library
In traditional cancer diagnosis,(histo) pathological images of biopsy samples are visually
analysed by pathologists. However, this judgment is subjective and leads to variability …
analysed by pathologists. However, this judgment is subjective and leads to variability …
Automatic ki-67 counting using robust cell detection and online dictionary learning
Ki-67 proliferation index is a valid and important biomarker to gauge neuroendocrine tumor
(NET) cell progression within the gastrointestinal tract and pancreas. Automatic Ki-67 …
(NET) cell progression within the gastrointestinal tract and pancreas. Automatic Ki-67 …
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
Translation of radiomics into the clinic may require a more comprehensive understanding of
the underlying morphologic tissue characteristics they reflect. In the context of prostate …
the underlying morphologic tissue characteristics they reflect. In the context of prostate …
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
Initiation, progression, and therapeutic response in cancer are largely influenced by tumor
microenvironment. Segmentation of tumor into epithelial vs. stromal regions constitutes the …
microenvironment. Segmentation of tumor into epithelial vs. stromal regions constitutes the …
Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation
The formation of a collectively moving group benefits individuals within a population in a
variety of ways. The surface-dwelling bacterium Myxococcus xanthus forms dynamic …
variety of ways. The surface-dwelling bacterium Myxococcus xanthus forms dynamic …
[HTML][HTML] Local isotropic phase symmetry measure for detection of beta cells and lymphocytes
Diabetes can be associated with a reduction in functional β cell mass, which must be
restored if the disease is to be cured or progress is to be arrested. To study the cell count, it …
restored if the disease is to be cured or progress is to be arrested. To study the cell count, it …
Ensemble deep learning object detection fusion for cell tracking, mitosis, and lineage
Cell tracking and motility analysis are essential for understanding multicellular processes,
automated quantification in biomedical experiments, and medical diagnosis and treatment …
automated quantification in biomedical experiments, and medical diagnosis and treatment …