AIMC Topic: Microscopy
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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.
BMC pregnancy and childbirth
Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Gender Identification and Classification of Flies Using Machine Learning Techniques.
Computational and mathematical methods in medicine
Jan 13, 2022
is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a recognizable match with the genetic code of Drosophila flies, and 50% of fly protein sequences have mammalian analogues....
Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT.
Computational and mathematical methods in medicine
Jan 12, 2022
Infection diseases are among the top global issues with negative impacts on health, economy, and society as a whole. One of the most effective ways to detect these diseases is done by analysing the microscopic images of blood cells. Artificial intell...
Grade classification of human glioma using a convolutional neural network based on mid-infrared spectroscopy mapping.
Journal of biophotonics
Jan 10, 2022
This study proposes a convolutional neural network (CNN)-based computer-aided diagnosis (CAD) system for the grade classification of human glioma by using mid-infrared (MIR) spectroscopic mappings. Through data augmentation of pixels recombination, t...
A novel deep learning-based 3D cell segmentation framework for future image-based disease detection.
Scientific reports
Jan 10, 2022
Cell segmentation plays a crucial role in understanding, diagnosing, and treating diseases. Despite the recent success of deep learning-based cell segmentation methods, it remains challenging to accurately segment densely packed cells in 3D cell memb...
Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning.
Scientific reports
Jan 7, 2022
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long been considered to be poorly differentiated and highly invasive because it has a higher rate of metastasis than well-differentiated adenocarcinoma. Bu...
Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos.
Fertility and sterility
Jan 5, 2022
OBJECTIVE: To perform a series of analyses characterizing an artificial intelligence (AI) model for ranking blastocyst-stage embryos. The primary objective was to evaluate the benefit of the model for predicting clinical pregnancy, whereas the second...
Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies.
PLoS computational biology
Dec 30, 2021
Identification of cell phenotypic states within heterogeneous populations, along with elucidation of their switching dynamics, is a central challenge in modern biology. Conventional single-cell analysis methods typically provide only indirect, static...
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer.
The Journal of pathology
Dec 28, 2021
The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in disease progression of colorectal cancer (CRC). The cellular mechanisms behind this event are not completely understood and existing predictive biomar...
Proof of Concept Study
Humans
Neoplasm Staging
Retrospective Studies
Biopsy
Reproducibility of Results
Diagnosis, Computer-Assisted
Microscopy
Early Detection of Cancer
Risk Factors
Deep Learning
Image Interpretation, Computer-Assisted
Adipose Tissue
Lymph Nodes
Colorectal Neoplasms
Predictive Value of Tests
Risk Assessment
Lymphatic Metastasis
Assessing red blood cell deformability from microscopy images using deep learning.
Lab on a chip
Dec 21, 2021
Red blood cells (RBCs) must be highly deformable to transit through the microvasculature to deliver oxygen to tissues. The loss of RBC deformability resulting from pathology, natural aging, or storage in blood bags can impede the proper function of t...
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