AIMC Topic: Immunohistochemistry
Clear Filters Showing 131 to 140 of 168 articles
Melatonin stimulates the secretion of progesterone along with the expression of cholesterol side-chain cleavage enzyme (P450scc) and steroidogenic acute regulatory protein (StAR) in corpus luteum of pregnant sows.
Theriogenology
Dec 16, 2017
The direct effect of melatonin on porcine luteal function during the pregnancy remains unknown. The objective of the study was to analyse the molecular mechanism(s) by which melatonin directly affects progesterone (P4) production in the corpus luteum...
Cervical cancer histology image identification method based on texture and lesion area features.
Computer assisted surgery (Abingdon, England)
Oct 16, 2017
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise o...
Localized prostate cancer and robot-assisted laparoscopic radical prostatectomy: a retrospective, comparative study between pre- and post-operative Gleason scores.
Acta chirurgica Belgica
Jul 18, 2017
INTRODUCTION: To compare the pre- and post-operative Gleason scores (GS) in patients with localized prostate cancer treated with robot-assisted laparoscopic radical prostatectomy.
Humans
Belgium
Prostatectomy
Biopsy, Needle
Preoperative Care
Postoperative Care
Male
Robotics
Prostatic Neoplasms
Laparoscopy
Chi-Square Distribution
Databases, Factual
Middle Aged
Neoplasm Grading
Survival Analysis
Immunohistochemistry
Prognosis
Risk Assessment
Analysis of Variance
Retrospective Studies
Cohort Studies
Aged
AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue.
Journal of microscopy
Jun 14, 2017
In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely used. The expert pathologist investigates qualitatively the stained tissue slide under microscope to...
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.
Scientific reports
Jun 12, 2017
Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical assessment of proliferation rate in breast cancer screening and grading. The Ki-67 signature is always sensitive to radiotherapy and chemotherapy. Due t...
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.
Scientific reports
Apr 25, 2017
Machine learning systems have recently received increased attention for their broad applications in several fields. In this study, we show for the first time that histological types of breast tumors can be classified using subtle morphological differ...
Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer.
Scientific reports
Apr 5, 2017
Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous cases can affect diagnostic accuracy. Modern artificial intelligen...
MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.
Journal of microscopy
Mar 20, 2017
Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time-consumption and inter-/intraobserver variability are major hindrances for evaluating the r...
Correlating Quantitative Fecal Immunochemical Test Results with Neoplastic Findings on Colonoscopy in a Population-Based Colorectal Cancer Screening Program: A Prospective Study.
Canadian journal of gastroenterology & hepatology
Dec 26, 2016
. The Canadian Partnership Against Cancer (CPAC) recommends a fecal immunochemical test- (FIT-) positive predictive value (PPV) for all adenomas of ≥50%. We sought to assess FIT performance among average-risk participants of the British Columbia Colo...
Controlled surface morphology and hydrophilicity of polycaprolactone toward human retinal pigment epithelium cells.
Materials science & engineering. C, Materials for biological applications
Nov 24, 2016
Applying scaffolds as a bed to enhance cell proliferation and even differentiation is one of the treatment of retina diseases such as age-related macular degeneration (AMD) which deteriorating photoreceptors and finally happening blindness. In this s...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32072
- Neural Networks, Computer 30250
- Algorithms 27438
- Deep Learning 26937
- Artificial Intelligence 24871
- Robotics 13394
- Image Processing, Computer-Assisted 9748
- Retrospective Studies 9362
- Magnetic Resonance Imaging 6353
- Reproducibility of Results 5671
- Tomography, X-Ray Computed 4871
- Support Vector Machine 4774
- Computational Biology 4340
- Brain 4133
- Computer Simulation 3936
Recent Journals
- Scientific reports 6884
- Sensors (Basel, Switzerland) 4794
- PloS one 4220
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1071
- Nature communications 1054
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 877
- Journal of medical Internet research 869
- IEEE transactions on neural networks and learning systems 856