A survey on artificial intelligence in histopathology image analysis

MM Abdelsamea, U Zidan, Z Senousy… - … : Data Mining and …, 2022 - Wiley Online Library
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 …

Computational nuclei segmentation methods in digital pathology: a survey

T Hayakawa, VBS Prasath, H Kawanaka… - … Methods in Engineering, 2021 - Springer
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 …

Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer …

H Fatakdawala, J Xu, A Basavanhally… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
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 …

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 …

Automatic ki-67 counting using robust cell detection and online dictionary learning

F **ng, H Su, J Neltner, L Yang - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

G Penzias, A Singanamalli, R Elliott, J Gollamudi… - PloS one, 2018 - journals.plos.org
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 …

Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images

Z Al-Milaji, I Ersoy, A Hafiane, K Palaniappan… - Pattern Recognition …, 2019 - Elsevier
Initiation, progression, and therapeutic response in cancer are largely influenced by tumor
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

S Thutupalli, M Sun, F Bunyak… - Journal of The …, 2015 - royalsocietypublishing.org
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 …

[HTML][HTML] Local isotropic phase symmetry measure for detection of beta cells and lymphocytes

M Kuse, YF Wang, V Kalasannavar, M Khan… - Journal of pathology …, 2012 - Elsevier
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 …

Ensemble deep learning object detection fusion for cell tracking, mitosis, and lineage

IE Toubal, N Al-Shakarji… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Cell tracking and motility analysis are essential for understanding multicellular processes,
automated quantification in biomedical experiments, and medical diagnosis and treatment …