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 …
segmentation is an important step in cancer analysis, diagnosis, and grading because …
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology
In the cancer diagnosis pipeline, digital pathology plays an instrumental role in the
identification, staging, and grading of malignant areas on biopsy tissue specimens. High …
identification, staging, and grading of malignant areas on biopsy tissue specimens. High …
Deep learning based Nucleus Classification in pancreas histological images
Tumor specimens contain a variety of healthy cells as well as cancerous cells, and this
heterogeneity underlies resistance to various cancer therapies. But this problem has not …
heterogeneity underlies resistance to various cancer therapies. But this problem has not …
Cyclic multiplexed-immunofluorescence (cmIF), a highly multiplexed method for single-cell analysis
J Eng, G Thibault, SW Luoh, JW Gray… - … for Immunotherapy of …, 2020 - Springer
Immunotherapy harnesses the power of the adaptive immune system and has revolutionized
the field of oncotherapy, as novel therapeutic strategies have been introduced into clinical …
the field of oncotherapy, as novel therapeutic strategies have been introduced into clinical …
Robust cell detection and segmentation for image cytometry reveal Th17 cell heterogeneity
Image cytometry enables quantitative cell characterization with preserved tissue
architecture; thus, it has been highlighted in the advancement of multiplex …
architecture; thus, it has been highlighted in the advancement of multiplex …
Computational measurement of tumor immune microenvironment in gastric adenocarcinomas
The use of four groups of tumor immune microenvironments (TME) based on PD-L1 and
tumor-infiltrating T lymphocytes (TIL) is a reliable biomarker for anti-PD-1/PD-L1 inhibitor …
tumor-infiltrating T lymphocytes (TIL) is a reliable biomarker for anti-PD-1/PD-L1 inhibitor …
Breast cancer histopathology image analysis pipeline for tumor purity estimation
The translation of genomic sequencing technology to the clinic has greatly advanced
personalized medicine. However, the presence of normal cells in tumors is a confounding …
personalized medicine. However, the presence of normal cells in tumors is a confounding …
Statistical Analysis of Quantitative Cancer Imaging Data
Recent advances in types and extant of medical imaging technologies has led to
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …
A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
Recent advances in multiplex imaging have enabled researchers to locate different types of
cells within a tissue sample. This is especially relevant for tumor immunology, as clinical …
cells within a tissue sample. This is especially relevant for tumor immunology, as clinical …
Integration of spatial distribution in imaging-genetics
To better understand diseases such as cancer, it is crucial for computational inference to
quantify the spatial distribution of various cell types within a tumor. To this end, we used …
quantify the spatial distribution of various cell types within a tumor. To this end, we used …