AIMC Topic: Microscopy

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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.

Computer methods and programs in biomedicine Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
Phenotype Reproducibility of Results Image Processing, Computer-Assisted Proteins Humans Neural Networks, Computer Algorithms Microtubules Pattern Recognition, Automated Cell Nucleus False Positive Reactions Databases, Protein Microscopy, Fluorescence Microscopy Probability
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Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks.

Medical image analysis Jun 29, 2019
Differently to semantic segmentation, instance segmentation assigns unique labels to each individual instance of the same object class. In this work, we propose a novel recurrent fully convolutional network architecture for tracking such instance seg...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Muscle Fibers, Skeletal Cell Tracking Microscopy Video Recording Datasets as Topic
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TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.

Medical image analysis Jun 26, 2019
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer cell lines acquired by quantitative phase ima...
Algorithms Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Equipment Design Microscopy Holography Cell Tracking
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Data fusion strategies for performance improvement of a Process Analytical Technology platform consisting of four instruments: An electrospinning case study.

International journal of pharmaceutics Jun 26, 2019
The aim of this work was to develop a PAT platform consisting of four complementary instruments for the characterization of electrospun amorphous solid dispersions with meloxicam. The investigated methods, namely NIR spectroscopy, Raman spectroscopy,...
Colorimetry Spectrum Analysis, Raman Microscopy Technology, Pharmaceutical Neural Networks, Computer X-Ray Diffraction Spectroscopy, Near-Infrared Photography Meloxicam Powder Diffraction
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Deep learning approach to peripheral leukocyte recognition.

PloS one Jun 25, 2019
Microscopic examination of peripheral blood plays an important role in the field of diagnosis and control of major diseases. Peripheral leukocyte recognition by manual requires medical technicians to observe blood smears through light microscopy, usi...
Bioengineering Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted Leukocytes Microscopy
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BACH: Grand challenge on breast cancer histology images.

Medical image analysis May 31, 2019
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysi...
Microscopy Pattern Recognition, Automated Humans Algorithms Neural Networks, Computer Female Breast Neoplasms Staining and Labeling
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GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Medical image analysis May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
Humans Cytological Techniques Microscopy Neural Networks, Computer Image Processing, Computer-Assisted Models, Statistical Glioblastoma
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A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.

Journal of biophotonics May 30, 2019
Manual hand counting of parasites in fecal samples requires costly components and substantial expertise, limiting its use in resource-constrained settings and encouraging overuse of prophylactic medication. To address this issue, a cost-effective, au...
Parasitemia Eimeria Microscopy Sheep Pattern Recognition, Automated Anthelmintics Specimen Handling Haplorhini Drug Resistance Image Processing, Computer-Assisted Robotics Dogs Goats Animals Deep Learning Feces Neural Networks, Computer Machine Learning
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Pathologist-level classification of histopathological melanoma images with deep neural networks.

European journal of cancer (Oxford, England : 1990) May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Microscopy Image Interpretation, Computer-Assisted Observer Variation Nevus Predictive Value of Tests Skin Neoplasms Biopsy Humans Reproducibility of Results Pathologists Melanoma Diagnosis, Computer-Assisted Deep Learning
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Breast cancer outcome prediction with tumour tissue images and machine learning.

Breast cancer research and treatment May 22, 2019
PURPOSE: Recent advances in machine learning have enabled better understanding of large and complex visual data. Here, we aim to investigate patient outcome prediction with a machine learning method using only an image of tumour sample as an input.
Humans Machine Learning Prognosis Female Aged Aged, 80 and over Adult Breast Neoplasms Microscopy Survival Analysis Tumor Burden Neoplasm Metastasis Immunohistochemistry Biomarkers, Tumor Follow-Up Studies Kaplan-Meier Estimate Middle Aged Neoplasm Staging Image Processing, Computer-Assisted Neoplasm Grading Workflow
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